Superhero Squad: N.J. boys soccer players with powers that go beyond in 2020 – nj.com

Halloween has arrived in a year that has been anything but normal.

Typically, tomorrow would be a day where children can dress up to be like any superhero they want. That may not happen due to widespread concern of the coronavirus.

But that hasnt stopped some boys soccer players from playing like superheroes across New Jersey this season. With Halloween ready to wrap up October, and the first complete month of the high school soccer season, NJ Advance Media is ready to unveil its own Superhero Squad: boys soccer style.

Meet this years impressive lineup:

Ant-Man: Lucas Sample of New Egypt. (Phil McAuliffe | For the Times of Trenton and Zade Rosenthal.. Marvel 2014

Sample may not be ant-sized, but he is a younger player that has delivered in a big way for New Egypt this season. Sample, a sophomore, has risen his play this season and has led the Warriors' attack with 12 goals and two assists in eight games.

Aquaman: Owen Neubart, Glen Rock. (Photos by Tom Horak | For NJ Advance Media and Mark Graves/The Oregonian)

Sure, Neubart cant breathe underwater or communicate with fish, but this sophomore plays with a level of toughness that even Aquaman cant look past. Neubart has stepped into a major scoring role for undefeated Glen Rock this season and has nine goals with the first month of the season not yet completed.

Batman: Asembo Augo (Photos by Lori M. Nichols for NJ Advance Media and Ron Phillips/Courtesy Warner Bros. Pictures/MCT)

Augo is the hero that Oakcrest deserves especially for a team that has overachieved in every sense of the word this season. When Oakcrest puts out its bat signal, you know Augo (13 goals, five assists) is going to be there to answer the call.

Captain America: Lucas Ross. (Photos by Scott Faytok | NJ Advance Media and Zade Rosenthal.. Marvel 2016)

Ross wasnt biologically enhanced like Captain America, but dont tell that to the defenders that try to stop him. After leading Seton Hall Prep to a Non-Public A title last season, Ross a freshly-minted North Carolina commit has gone back to work to lead the Pirates in 2020. He has four goals and three assists this year.

Cyborg: C.J. Colt. (Photos by Larry Murphy | For NJ Advance Media and Courtesy of Warner Bros. Picture)

Colt wasnt mechanically built like Cyborg, but he certainly has the strength of him. A physical, dominant center back, Colt has anchored the back line for Hopewell Valley this season and is always up for the challenge in a big game.

Daredevil: Darren Lewis, West Orange. (Photo by Scott Faytok | NJ Advance Media for NJ.com and)

O.K., Lewis isnt blind like Daredevil, but he has the awareness and senses like him. Always around the ball, always involved in the attack, always one step ahead of the opposition, Lewis has nine goals for the No. 15-ranked Mountaineers this season.

Flash: Christian Ball. (Photos by Al Amrhein | For NJ Advance Media and NHorsley | Fame Fly Net pictures)

Dont blink, you might miss him. Like The Flash, few players are as lightning quick and agile as Ball in the attacking third. The junior has four goals and three assists for Haddonfield and is as good getting the ball forward as any player in New Jersey.

Gambit: Tabi Essa. (Photos by Scott Faytok | NJ Advance Media and James Fisher | 2009 Marvel Characters, Inc. and Twentieth Century Fox Film Corporations)

Gambit charges enemies with energy and uses them as weapons to take down his adversaries. Essa, a key, versatile player for Monroe this season, has employed a similar strategy this season, using his conditioning and work ethic to break down opponents. Essa has five goals and four assists this year for Monroe, the best team in Middlesex County.

Green Lantern: Eryk Dymora. (Photos by Scott Faytok | For NJ Advance Media and Warner Bros. Pictures)

The Green Lantern gets his power from his ring and Dymora already has one of those. After leading Clifton to a Group 4 title last November, Dymora has been nearly unbeatable this year as Clifton has shut out eight straight teams after a 2-1 season-opening win over Passaic.

Hawkeye: Brett Sieg. (Photos by Tom Horak | NJ Advance Media and Jay Maidment..Marvel 2015)

Just like Hawkeye, when Sieg locks on to a target, nothing is going to keep him away. Sieg, the veteran of this CBA team, has a team-leading five goals and three assists. And as the state tournament approaches, CBA is surprise, surprise playing as good as any team.

Human Torch: Jimmy Gonzalez. (Photos by Scott Faytok | For NJ Advance Media and AP Photo | Twentieth Century Fox)

Once Gonzalez got going this season, there was no stopping him. Hes been on fire like the Human Torch and has scored in all but two games for Passaic this season. His 21 goals ranks tied for the most in New Jersey.

Iceman: Jake Sweeney. (Photos by Scott Faytok | For NJ Advance Media and Alan Markfield | Twentieth Century Fox)

Sweeney cant shoot ice out of his hands, but he might be able to out of his feet. When Bergen Catholic needs a big goal, Sweeney is there to answer the call, time and time again. Sweeney has 14 goals for the Crusaders this season and has proven to be the go-to guy for coach Pete Berkanish.

Ironman: J.R. Cima. (Photos by Lori Nichols | NJ Advance Media and Industrial Light & Paramount/Courtesy Everett Collection)

Cima doesnt need a high-tech to be a do-it-all force for Washington Township. In what was supposed to be a rebuild, Cima has been the ultimate team player, fading back into the midfield to help distribute the ball through the middle for a surging Minutemen team. If its a big game for Washington Township, expect Cima to be in there for 80 minutes or more.

Peter Quill: Danny Bensch. (Photos by Tom Horak | For NJ Advance Media and Film Frame..Marvel Studios 2017)

Much like Peter Quill makes the Guardians of the Galaxy roll, Bensch is there to make sure Notre Dame continues to move forward. He was a big player under Dan Donigan last season and has been an even bigger player, a year older, under P.J. Barrett this season. Bensch has been involved in almost every goal for the Irish this season.

Robin: Tristan Sampedro: (Photos by Scott Faytok | NJ Advance Media and DC Entertainment)

Sampedro doesnt play second-fiddle to anyone at Pingry (and how could he, as a battle-tested, seasoned veteran), but he has no problem succeeding behind the scenes for his teammates. It was Sampedro, after all, that delivered the set piece that led Pingry to a last-second win over Hunterdon Central earlier this year. He has nine goals and six assists through Pingrys first eight games as the Big Blue eye another state title run this November.

Spiderman: Mathew Giraldo. (Photos by Scott Faytok | NJ Advance Media and Warner Bros. Entertainment Ic., Ratpac-Dune Entertainment LLC and Ratpac Entertainment, LLC)

Giraldo isnt scaling any buildings in Elizabeth, but he probably could if he wanted to. Quick and nearly unstoppable on the ball, Giraldo is the friendly neighborhood goal scorer for the Minutemen unless youre trying to defend him. He has four goals and two assists through the first month of the season for Elizabeth this year.

Superman: Micaah Garnette. (Photos by Scott Faytok | For NJ Advance Media and Clay Enos/ TM & DC Comics)

Its a bird. Its a plane. No, its Garnette coming to save the day again for Gill St. Bernards. Garnette was good last year, when he scored 30 goals for the Knights in a record-breaking year, but hes been even better this year. Garnette has 12 goals and 11 assists for No. 2-ranked Gill St. Bernards this season, despite facing insane man-markings and defensive pressure.

The Hulk: Ralph Russo. (Photos by Keith Muccilli | NJ Advance Media and Thomas Ondrey | The Plain Dealer)

Sure, Russos skin isnt turning green anytime soon but hes certainly an incredible hulk along the back line for Hunterdon Central. Russo doesnt just have the physical ability to lock down even the states best scorers, but he has the tenacity to go on the attack and score on the offensive end, too.

Thor: Ahmad Brock. (Photos by Lori M. Nichols | NJ Advance Media and Film Frame..Marvel Studios 2017)

Thor is the god of thunder in Norse mythology and Brock certainly brings the thunder for Egg Harbor. As good a finisher as youll find in South Jersey, and even beyond that, Brock is no player a defender wants to cross when hes going for goal. Brock has 16 goals through Egg Harbors first eight games this year.

Venom: Kendall Marin. (Photos by Scott Faytok | NJ Advance Media and Sony Pictures)

Sure, Marin doesnt go around eating opponents heads off, but if youre in his way of scoring a goal, you might want to get out of the way. Marin was a goal scoring machine for Manville last season and has been even better this year and he has no issue raising the intensity of Manville is in need of a score.

Wolverine: Zach Orrico. (Photos by Scott Faytok | NJ Advance Media and James Fisher | 2009 Marvel Characters, Inc. and Twentieth Century Fox Film Corporations)

Orrico doesnt have claws like Wolverine, but hes as tough as him. What he may lack in size of a typical striker, he makes up for in work ethic and technical skills. Orrico has battled some intense defensive pressure early this season but has picked himself off the turf (or muddy grass at home) whenever hes knocked down. Orrico won a Shore Conference Tournament title last season and will look to win a state title this November to cap off his high school career.

Brian Deakyne may be reached at bdeakyne@njadvancemedia.com. Follow him on Twitter @BrianDeakyne.

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Superhero Squad: N.J. boys soccer players with powers that go beyond in 2020 - nj.com

Linking two brains together, we’ll be able to exchange ideas on a whole new level, says world’s first cyborg – RT

Augmenting the human body with technology has long ceased to be merely science fiction. But now talk turns to merging computers with the most sophisticated machine of our own the human brain. Is this a crazy fantasy belonging to some enthusiasts, or a not-too-distant future? We talked about this with the world's first cyborg, Kevin Warwick, professor of cybernetics at Coventry and Reading Universities.

Sophie Shevardnadze: Kevin Warwick, professor of cybernetics at Coventry and Reading Universities and the world's first cyborg. Kevin, so great to have you with us.

SS: So many things have been coming up in the news lately. So the technology of implanting electrodes into the brain cortex is at least 20 years old. And electrodes in the brain have already been used to control epileptic fits in people. Yet Musk's Neuralink project is presented as a giant leap forward. Why?

KW: Well, I think Elon Musk is effective in marketing. Thats why its presented that way. But it is good in some ways. But at the moment its just been experimented on with pigs, as I understand, so that no human trials yet, that, for me, is important. But from the type of electrodes they're using, they're not rigid, the electrodes that I had implanted in my nervous system were hard, like hairbrush spikes. And the potential there is that they can break off, and of course, firing them into the brain or nervous system can be quite dangerous and a hundred spikes in my nervous system. So I think if we're looking at very - And you can move them around, the type of electrodes that Elon Musk is talking about, then that's much better because they can move with the brain or the nervous system. But the issue I have is how do you implant them in a human? Because with the implant I had - just hammer it in very quick, very swift. But with the type of electrodes Musk refers to, I can't see how that's possible. So I have big questions yet how it will work as far as humans are concerned, as opposed to just the pigs that it's been trying -

SS: So let's speculate a bit because if I get it right, the idea of Neuralink is to transmit our thoughts directly to the computer without the need of any middleman technology and at a much higher speed, right? How is it supposed to work exactly? Will I have to say what I want inside my head for a computer to deliver on that? What do you make of it?

KW: Well, ultimately, we don't know how well it's going to work. And what's been done so far is more motor signals, so making any movements, and those neural signals can be sent out, say, to a robot arm to cause it to move, so you can move technology remotely. But also in terms of sensory information, you can feed that back into the brain. So it's motor and sensory, that's what's been done so far. But the big advantage, of course, is what you're referring to, the possibility of sending all sorts of brain signals from the brain not just to a computer, but potentially into another brain or into a machine, an artificial intelligence brain; so the whole possibility of communicating by thought back and forth, that for me is tremendously exciting. But we've done rudiments, a bit like telegraphic communication from nervous system to nervous system. But I think Elon Musk, for example, is way away from doing an experiment sending signals from brain to brain, which I think would be one of the big advantages. There're lots of other advantages.

SS: Our brains are flexible, and they're constantly changing according to what we do with them. Does that imply that a chip implant would have to be upgraded and updated all the time just as well, like mobile applications?

KW: I don't think so. I think what we're looking at rather than a chip implant, it's a bit like a port. I don't know if people are aware of the film The Matrix -

SS: Yeap.

KW: Reeves had a load of sockets in the back of the head into his brain. It's a bit like that, it's opening up a port into the brain so that you're then able to send brain signals by the connections down to wherever and signals back into the brain. So the chip itself is not really doing anything in the brain. So I don't think you will need to upgrade the technology. But the beautiful thing is that the human brain cells, what they do, what a brain cell does is really communicate either from brain cell to the brain cell, or from the outside world into the brain, and so on. And brain cells like to communicate. And I really feel here that once you get this port in the brain, the brain cells will adapt, they are flexible, they can make new connections, even when you are older, they still make new connections. And hence, I think they will accept an implant quite readily. No problems about the materials, that's not an issue, but they will accept what they can do. And then when brain cells can communicate in a whole new way, they will go for it, brain cells will be like, hey, yeah, we want to do this effectively. And so we will have quite a switch. It's not just a case of putting the implant in and it will do what it can do, I think over a period of time that your brain will adapt to the new possibilities.

SS: Well, I know you get excited about the prospect of communicating with each other without words in the future with the help of electrodes implanted in our neural system. But I'm thinking like the beauty of a thought is sometimes in fact that it's private. Whenever I choose not to broadcast it, I just shut up. So if we all communicate by thoughts someday, what happens if we don't want some more thoughts to be transmitted?

KW: Well, I hate to disagree with you there because I think with technology, what we've seen, what we've actually seen with Facebook, and all sorts of different - I mean Twitter and so on, is that when humans can communicate in a whole new way, they really go for it. Whether you're a child, whether you're an adult, you can communicate in a new way, that is exciting for you because that's what your brain cells want to do. It's not that you're going against what your body wants, its what your brain cells want to do. And so the privacy is not an issue, we don't worry about credit cards and having information on us all the time by card companies and shops because the advantages we get by being able to do that, to use the technology. And with communication, we don't worry too much at all about the privacy issues if we go on social media, because of the advantages we get in the new ability to communicate. And hence, I think that is going to be the critical factor, we will want to do it, we will want to communicate directly brain to brain, even though it opens up possibilities of people literally hacking into our brains, finding what some of our innermost thoughts are. It's the interface essentially between the human brain and technology that's the problem. And once we integrate the two much more, I believe, maybe we won't worry about our innermost thoughts, because we're gaining so much, or we build up a new way of operating that we have innermost thoughts because your brain is not just one organ, it's lots of different organs effectively, that do different things. And so maybe within part of your brain, you can have the thoughts, yes, this person is silly, or I don't like them, whatever, but you don't want them to know that. And maybe in communicating even brain to the brain, you are able to filter that. But at the moment we don't know, because we simply can't do it. But so I think that's not to say don't do it, because of the loss of privacy, we need to do the experiments now to find out. And if there are issues, as you're saying, then maybe we pull back from it a bit. But I suspect that won't be those issues.

SS: But okay, it's one thing to implant electrodes to read signals in one or two brain regions. But our thoughts are the product of billions of neural connections. How can an electronic device connect itself to every single neuron? I mean, the task seems improbable.

KW: I don't think we're connecting to every single neuron. That's not the idea at all. Even with Elon Musk - Elon Musk is talking of perhaps thousands of connections. All I had so far in the experiments I've done is a hundred-connection. When you're communicating now, you don't use all of your brain cells to communicate, you use a small, relatively small number of them. So I think it is this port, you're still looking maybe thousands, maybe it might be millions of connections in the end, but relative to the hundred billion neurons that you've got, it's still a relatively small number. So I don't think you're looking at connecting each brain cell to an electrode. That's not what we're looking to do by any means, but a small number. But hopefully, that small number is fairly large, because it opens up lots of possibilities. But there are questions as to which neurons in the brain, do you just connect the motor neurons and you connect the sensory neurons and so on? Or do you spread it around much more? So where the electrodes are positioned is something we will need to learn over the time, which is the best positions and so on.

SS: Kevin, you said in one of your interviews that we humans are pretty limited in what we can do, particularly mentally. And we just have a bunch of brain cells, and it's surprising because it seems to me that especially mentally, we still don't know our limits. I mean, we keep on studying our brains and keep on being amazed and how complex and powerful they are. Why do you feel that humans are limited?

KW: We have a finite number of brain cells. And certainly, I agree with you that we could do more with the brain cells we've got. And maybe this link will allow us to learn what the possibilities are. But at the same time, we can see when you look at computer technology, particularly artificial intelligence, some of the things that it can do - just the speed and complexity of the way it can make calculations or communication (it can communicate better, computer-to-computer communication is much better than human communication), it does a lot of things better than we do. So the possibility, not just being restricted with the brains we've got with the finite number of brain cells, but even just combining two human brains together - I mean, that, to me, has a lot of advantages, not just because of the communication, but because of the addition. And it's thinking in terms of not communicating, not sending just signals as we do now but in terms of emotions, feelings, ideas, concepts, the whole thing, the whole gamut of what's going on in our brains, we have the possibility of communicating in a much better way. So linking just two brains together, we can transfer ideas from person to person, I would believe, in a much better way.

SS: Elon Musk claims Neuralink has a huge therapeutic potential being able one day to help paralysis, Alzheimer, Parkinson's disease. Can neural implants bring back the actual ability to hear, to see?

KW: Well, I think the therapeutic side of things is one of the things that will drive it forward. Yes, already Parkinsons implants and [implants to counter] depression and so on, but a lot of other neurological problems: schizophrenia, I think, is one of those things at the moment is not been tackled electrically. We have to remember that the brain is electrochemical, partly electrical, partly chemical, whereas most medicine is chemical with all sorts of side effects. You have a headache - you take aspirin, and it has side effects, and it probably still doesn't solve the headache that you've got, whereas we could potentially tackle things like that electrically. So there's all sorts of therapeutic possibilities to it. I think when we look to the future, it may be some of the things that we do at the moment, particularly in terms of communication, we won't do in the future, we will move on, we will evolve with the technology. And so this way of communicating after a while will die out because we don't need to communicate that way when we think to each other, we can communicate in a much richer form and much better way, and we will find it- or people, those evolved from us will look back and say, Oh, how did they communicate in such a limited way all those years back in 2020?

SS: You know, there's an example of a colourblind man having an antenna that lets him sense the colours. So I read you talk about things that let one feel ultrasound or get infrared vision. What else is a real possibility for you in terms of upgrades for humans? What can you see as an actual doable thing in the nearest future versus theoretical possibilities?

KW: One of the things I feel is how we understand the world around us. Human brain operates in three dimensions, we look at space and architecture and so on as a three-dimensional thing; of course, space is not certainly three-dimensional. Space is space, and you can put as many dimensions in your understanding of it, which of course, with machine technology, with artificial intelligence you can do that - machines can understand the world around us in hundreds, thousands of dimensions, which is much more complex. And I really feel a realistic target is, in the years ahead, we will understand the universe in many more dimensions than we do at the moment. And that, I hope, will change space travel, for example, because at the moment we think in three dimensions so it takes us a long time to get to the moon, which is almost nowhere in the universe. If we want to go to Mars we know its certainly going to take several years to get there because we're thinking in three dimensions. When we start to think this joint human-machine way of thinking in terms of 20 or 30 dimensions, we can just zip that through the dimensions. So I sincerely hope that is gonna be a possibility. I don't like to think of us just being stuck in this one part of the universe.

SS: Can technology actually improve my brain function at least theoretically? I mean, can I implant a chip and be finally able to learn a language, solve complex math problems, or be able to play Bach flawlessly without 20 years of practice and experience?

KW: Ah, good question. I dont think theres anyone whos quite able to find out about things like that. I mean, I would love to know. I'm not very good at playing musical instruments, I am absolutely terrible at languages. My wife is Czech and Im still not very good at learning the Czech language. So if there was some help on that - I mean, things will change with languages. I don't know that we will need languages where we're going. I sincerely hope that when we can communicate just by thinking to each other - There's a lot of things we think about, you're sitting in a chair, I'm sitting in a chair, and we can think of those things and the ideas of those things, but then we use languages to describe it to someone else. If we're not using speech, potentially, we don't need language, so things will change dramatically. I know philosophers say we think in language, I honestly don't believe we do think specifically in some language construct, I think we put languages on it. But it's something that will change dramatically. And maybe abilities, motor abilities, the ability to play golf and so on, which again, I'm not particularly good at, but if I can download, and I think that's got to be some short-term possibility, download a number of movements into my body, which will cause me to play golf a little bit better, I probably still won't be as good as the professional golfers are. But I can't see why those particular sets of movements in a sort of robotic way can't be downloaded into my brain so I perform some set of action but my body is not a professional golfer's body, so I still probably wouldn't be as good, but it would be a lot better than I was beforehand.

SS: So if the brain in a more distant future will be connected to a network via a chip of some kind, and that network will be run by artificial intelligence, therefore, artificial intelligence will be able to map all processes that go on inside a brain, if it will know and be able to sort of replicate the processes inside a brain, will it lead to theoretically having consciousness? What I want to say is, could the desire to enhance humans lead to a very enhanced artificial intelligence instead?

KW: Yes, it could be. My worry is if we don't do this, and that could be a dangerous scenario that we could have artificial intelligence with a form of consciousness potentially very different than human consciousness. This is what Alan Turing said many years ago, Machines cant be conscious. Of course, they can be but its probably different than human consciousness. But when we look at something that is an amalgamation, then I would be quite happy, I would love to have a mixed form of consciousness, not just the human type that we've got, but also a machine element to that consciousness because it would give me all sorts of abilities and abilities to think in a much deeper way. So I think there are lots of advantages to it. But there are also potential dangers that you're alluding to. And that's something we're going to have to be very careful, very wary of. Anyway, I think whether artificial intelligence is separate to humans, particularly in the military domain, how much are we going to allow it to do the financial sector and so on, and without humans being in control of what's going on, as opposed to this mixed form, and we link human brains with machine brains and the possibility of having this enhanced mixed consciousness, part AI, part human.

SS: So you point out the close connection between technology and the human brain will affect the issue of autonomy of human beings. And I will ask point-blank: once our brains are connected to computers, will this be the end of us as fully autonomous beings because, I mean, machines will be able to make us think certain things and modify our behaviours accordingly?

KW: I think you're quite right. I mean, even now, are we really autonomous beings? And the possibility of living just yourself, one person, in the world that we live in now - it's extreme, maybe some people - I don't think I could, I'm not sure that my body would take the different foods that I have to eat, whether I would be able to survive in a world where I was the only person effectively. So I think we need our network, we need other people, we need technology now to live in the world we're in. And this is just taking it that bit further. In terms of understanding what is going on in the human brain, I think with therapeutic methods now, one of the projects I'm working on for Parkinsons disease, with electrodes in the brain to teach the brain how to behave in a way that overcomes the problems of Parkinson's disease - with those electrodes and using AI, what we do is learn how the different parts of the brain are behaving, particularly those that are affecting Parkinsons disease. So its re-modelling the brain in an artificial intelligence system. And you can get, for example, one part before the typical tremors that are associated with Parkinsons disease, before they start, the artificial intelligence system can know several seconds ahead that they are going to stop. So the person themselves doesn't know they're going to have the tremor starting, but the computer does. So I think we can get advantage of understanding the human brain much more through computer technology, which we can use for therapy, which helps people, that's got to be a good thing, but also, we can enhance the way we're thinking. The computer knows what we're going to think before we think it.

SS: Yuval Noah Harari voiced an opinion that augmenting yourself with tech will be a thing of rich people mostly. And I mean, of course, in the beginning, like it was with automobiles or cell phones, it certainly will be. But this time we're not talking cell phones. We're talking evolutionary level change. Will a whole layer of people be excluded from having new abilities? Could it split humanity into two tiers - wealthy enough to be cyborgs and the rest, just like the common folks?

KW: Well, I mean, I would love to be, Oh, yes, now everything's going to be alright. But if we look realistically, with technology, as you've said, with cell phones, with automobiles, some people have them, some people have more of them and some people don't have any of them at all... I think what that does is it stretches society in terms of societys abilities. So those with the technology can communicate in all sorts of ways and can interact and can benefit from it. And those without any of the society really have very limited capabilities in comparison. So its stretching society a bit like an elastic band. I think this will do is further stretch it. So yes, those with the money, those that want to experiment a bit, get in there first, will have abilities, and those that don't have implants in their brain will not have anything like those abilities. But the key thing is, I think, it will stretch it a bit like an elastic band, but most likely that band is going to break so that we end up with those that have implants, that can communicate just by thinking to each other and so on, will have abilities way beyond those that don't. So I think it could easily stretch the band so we just split, evolve into those with implants and those without.

SS: Alright, Kevin, it's been such a pleasure talking to you. Good luck with everything. We were talking to Kevin Warwick, professor of cybernetics at Coventry and Reading Universities and the world's first cyborg.

KW: Thank you.

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Linking two brains together, we'll be able to exchange ideas on a whole new level, says world's first cyborg - RT

DCeased and Marvel Zombies Have Surprisingly Similar Cures for Their Undead Problems – CBR – Comic Book Resources

DCeased and Marvel Zombies share many similarities as both universes are fighting off hordes of the undead, but the cure for both might be the same.

WARNING: The following article contains spoilers for DCeased: Dead Planet #4 by Tom Taylor, Trevor Hairsine, Gigi Baldassini, and Saida Temofonte and Marvel Zombies: Resurrection #2 by Phillip Kennedy Johnson, Leonard Kirk, and Travis Lanham, on sale now.

With Marvel and DC's respective zombie apocalypse stories in full swing, it seemed unlikely that the cure could be found anywhere, let alone in similar places.

Yet somehow, most likely through a strange and admittedly funny coincidence, both Marvel and DC's respective undead apocalypses may have found a way to restore the dead in the most unlikely of sources: Robots.

RELATED:Marvel Zombies Makes House of X's Worst Future Marvel's LAST Hope

It's been no secret that Cyborg has the cure for the Anti-Life Equation inside him somewhere. He was the carrier for the initial plague, so it seems fitting that he should be the one to cure it. Having unintentionally unleashed the virus through the internet, most of the human population succumbed within a matter of days. Only after the survivors were evacuated did Cyborg discover the cure was within him. And in DCeased: Dead Planet #4, he learned that all he had to do to distill is was decode his blood. But while the future of this alternate DC Universe rests on developing a cure from Cyborg over in Marvel Zombies: Resurrection, things are not as cut and dry.

Much like DCeased, Marvel Zombies: Resurrection has the apocalypse span for a few years from the outbreak to the present day. During that time, to combat the rising number of undead, humanity turned to automated defenses. Using robots and machines as the first line of defense against the zombies seemed like a sound strategy but over time, the number of undead grew and eventually wiped out most of the humans ordering the machines around.Now the machines are making their own decisions, as well as their own discoveries. In Marvel Zombies: Resurrection #2, the Machine Coalition has been transforming humans they save into robots by way of the Transmode Virus. This virus was designed to alter organic beings into technological ones, to expose human survivors to the Transmode Virus to eliminate the organic factorand prevent the zombie virus from spreading.

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DCeased and Marvel Zombies Have Surprisingly Similar Cures for Their Undead Problems - CBR - Comic Book Resources

New Alita: Battle Angel Poster Arrives Ahead of This Weekend’s Rerelease in Theaters – MovieWeb

Alita: Battle Angel director Robert Rodriguez has now shared a brand-new poster for the imminent rerelease of his underappreciated cyberpunk-action movie. Depicting Rosa Salazar's Alita wielding her trusty Damascus Blade, the vibrant poster is sure to provide the committed fanbase, dubbed The Alita Army, with hope that this will not be the last audiences will see of the beloved manga character.

Until now, artwork advertising a movie theater rerelease has simply been old artwork with a date change, so putting together and releasing all new marketing material for a movie that is now over a year old is quite revealing. The effort being put into the upcoming rerelease is sure to get tongues wagging regarding the highly anticipated (but so far non-existent) follow-up.

Directed by Robert Rodriguez and produced by James Cameron, Alita: Battle Angel follows a young girl named Alita, a battle cyborg who awakens with no memory of who she is in a future world she does not recognize. She is taken in by Ido, a compassionate doctor who realizes that somewhere in this abandoned cyborg shell is the heart and soul of a young woman with an extraordinary past. Alita then sets out to learn about her past and find her true identity.

Rosa Salazar stars through performance-capture animation as Alita, with Christoph Waltz, Jennifer Connelly, Mahershala Ali, Ed Skrein, Jackie Earle Haley, and Keean Johnson starring in supporting roles. Financially, Alita: Battle Angel was a moderate success, bringing in $401.7 million worldwide, which, regrettably, was not enough to automatically ensure that a sequel would be greenlit, leaving the future of the property up in the air.

The movie frustratingly ends on something of a cliffhanger, with Alita vowing to take the fight to the world's oppressors. This teasing ending is just one of the many reasons that fans are so desperate to see Alita 2 eventually come to light.

Sadly, due to Alita: Battle Angel failing to garner the kinds of box office numbers that had been hoped for upon initial release, a sequel is nowhere in sight. However, the desire for a follow-up has since grown into one of the most passionate fan campaigns since The Snyder Cut. Despite the lukewarm response to the first movie, Rodriguez's hard work was not all in vain, with campaigners The Alita Army determined to keep up the fight for the franchise, having produced a vocal social media campaign. The highlights from their efforts so far include flying a banner stating their yearning for Alita: Battle Angel 2 over the ceremony for the Academy Awards and erecting several billboards in Los Angeles highlighting their cause.

Producer James Cameron has even shown his support for the fan campaign, taking to social media recently to announce the movie's rerelease saying, "We're with you #AlitaArmy - Alita's coming back to the big screen on October 30th."

The Alita Army will likely be out in full force when the first Alita: Battle Angel returns to theaters for a limited time from this Friday. This comes to us courtesy of Robert Rodriguez's official Twitter account.

Topics: Alita 2, Battle Angel

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New Alita: Battle Angel Poster Arrives Ahead of This Weekend's Rerelease in Theaters - MovieWeb

How The Captain Is Dead Adapted Its Star Trek Parody Board Game For PC – Screen Rant

The Captain is Dead, a Star Trek parody tabletop game, was recently adapted into a co-op video game and wound up looking a lot like the game FTL.

The red alert alarms are blaring, the aliens are breaking throughthe hull, and the vessel's starship captain is too busy being deceased to give heroic orders: this is the premise of The Captain Is Dead, a cooperative tabletop board game and Star Trek parody recently adapted into a multiplayer video game by Thunderbox Entertainment.This board game adaptation studio has nicelyaugmentedthe The Captain Is Dead's frantic countdown-styled gameplay with surreal polygonal graphics and a gameplay mode similar in style to the spaceship roguelike FTL: Faster Than Light.

As one of the most iconic, genre-defining science fiction tv franchises out there, Star Trek has gotten its fair share of spin-offs and homages, from parody movies like Galaxy Quest and deconstructive novels like John Scalzi's Redshirts to video gamessuch as Artemis Spaceship Bridge Simulatorwhichlet players take on the roles ofofficers controlling the bridge stations aboard an Enterprise-like starship. The Captain Is Dead (both board and video game) recreates the climactic sequences inStar Trek episodes where the main characters must use science and teamwork to resolve the crisis at hand without the help of their brave, charismatic starship captain... who is dead.

Related: How Kerbal Space Program 2 Will Teach Real-Life Astronaut Skills

The original The Captain is Deadis a self-described"Retro Sci-Fi Survival Strategy" board game with cards, plastic tokens, anda board with a map of a starship's various decks. Each player picks arole card that matches a specific spaceship crew archetype (Science Officer, Telepath, Chief Engineer, Cyborg, Counselor, Hologram, etc.), and races around the map of their damaged spaceship to complete various tasks (with comedic hijinks similar to the antics in Star Trek: Lower Decks).

As a co-operative board game, players of The Captain is Deadare working together against the cards drawn from the game's Yellow, Orange, and Red Alert Card decks, which contain random scenarios such as alien attackers or spatial anomalies which obstruct the crew's activities and drain power from the ship's shields. When the ship's shield power reaches zero, it explodes. When the Jump Core is fully charged, the starship can make an FTL hop to safety.

The official trailer for the video game adaptation ofThe Captain Is Dead, released byThunderbox Entertainment, parodies promotional videos from the 1980s withdetails such as VCR static, mullet-wearing hackers, and a cheery old British narrator who talks about the game's "b**ching synth soundtrack," the company's "laser-powered but totally harmless board game zapping digitizer" whichis probably a shout-out to Tron. The video game itself parodies the various Star Trek installments and the sci-fi stylings of the 1960s/1980sby employing the following designfeatures.

The 3D graphics for The Captain Is Dead can't exactly be described as "AAA". The character models, like the boxy-looking starship are crude-looking and polygonal, shaded using eye-popping primary colors. These textures hearken back to the graphics of 1980s/1990s space video games like Battlezone,Elite or Descent,but they alsoperfectly mimic the art style of the original board game: sharp, angular, cubist, and vaguely reminiscent of the uniforms and spaceship corridors of the original 1960sStar Trek series.

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How The Captain Is Dead Adapted Its Star Trek Parody Board Game For PC - Screen Rant

Ghostrunner Review | Expertly fulfills the dream of being a cyborg ninja – Game Revolution

GHOSTRUNNER REVIEW FOR PS4, XBOX ONE,PC, ANDNINTENDO SWITCH.

Few ideas are as ripe for a video game as a cybernetic ninja. Unparalleled agility matched with the boundless power of technology is a blueprint perfectly suited for the interactive medium and the power fantasies it often attracts. Ghostrunner may seem like it was initially birthed out of a pitch meeting filled with similar premises from the Slam Dunk Game Ideas list, but its more than something a katana-wielding mall ninja would fantasize about. Through its rock-solid controls and well-paced levels, it expertly fulfills the dream of being a cyborg ninja and is one of the best parkour-focused games out there.

Ghostrunners excellence comes from a relatively straightforward core. Wall-running, jumping, grappling, sliding, slicing, and dashing are your six main tools that can overcome anything the game throws at you. All of it controls well and usually, outside of a few failed wall-runs here and there, behaves exactly as it should.

Responsiveness, while undeniably the most important one, is only the first step and the game goes past basic functionality by creating levels that intuitively use its core set of moves.Neon-drenched gauntlets chain together everything in your kit, requiring finesse and quick reflexes as you bounce off a wall to avoid a rogue electrical current and grapple into the skyrises via a conveniently placed meat hook before crashing back down on a highjacked drone. Stages are full of these sorts of highlight-reel moments and typically mix together existing obstacles while also introducing a few more.

Satisfying runs are only possible if you pull them off flawlessly and, spoiler, you wont. Ghostrunner is pretty demanding, giving players slick controls while also always putting those controls to the test. Properly realizing that aforementioned cyber ninja dream takes work.

However, that work is a vital component of Ghostrunnersgreatness. Falling into the endless abyss and getting shot to hell are not painful reminders of the games difficulty, but valuable learning experiences that clearly communicate your mistakes. Each is an opportunity to gradually improve and become quicker and more ninja-like a trial-and-error process that is made painless by the lack of post-death load screens.

Within a few hours, linking together long strings of uninterrupted parkour becomes natural and absolutely electrifying because of the effort it took to get there, especially when the difficulty curve starts ramping up. Dying in one hit naturally leads to this feeling because of how that persistent challenge forces you to adapt, learn the game, and complete every checkpoint in one unbroken shot like a true skilled ninja. You cant stumble through it and the game is intelligently designed enough to cut out the frustration that one-hit deaths might entail, which is partially due to the clear level design and enemies that have easily discernible silhouettes and predictable patterns.

Combat isnt even a superfluous part of the experience but fundamental to it because of how it seamlessly it incorporates with the free-running. But its less like traditional melee combat, per se, and more like a puzzle where your sword is the solution. One-hit kills also apply to your opponents, meaning the true test in skill is closing the distance via parkour and knowing when to make your fatal slice.

Since they are single-hit obstacles and not tanks with a lot of health, killing them becomes part of the parkour flow and something great players can best in one in unbroken segment as they learn what routes get them to the end while also cutting all of the enemies to ribbons. Each type even challenges you in myriad ways. Sword-wielding wardens that must be parried test your reflexes since a premature strike sends you flying. Snipers make sure your timing and ability to weave between cover is on point. Kamikaze drones keep you running at all times. Theres an impressive array of foes with unique functions that require different strategies to overcome, much like Doom and its varied bestiary of demons.

Ghostrunneris even ripe for experimentation as there is no one way to cut your way to the exit. Special offensive abilities yield new powerful moves and the Tetris-like upgrade system allows you to pick what you want to specialize in. Some may choose to deflect bullets and others may want improved special abilities or another kind of dash. Every combat room is physically designed as a relatively open playground and its many customization options further enhance those liberties. Its a shame that the game doesnt have more modes or challenge rooms to serve up its best-in-class, freeform gameplay in smaller, score-based chunks.

Fighting and platforming are both blazing fast when done successfully, something the banging soundtrack encourages with each new track. Songs bounce between 80s electronic music inspired by popular cyberpunk media and newer EDM that still fits the mood while still being modern. Together, they create an excellent list of fast beats that match the gameplay tempo and surrounding environments. It both sounds like a mixtape youd need while performing parkour and one youd place over a montage of Blade Runner clips.

But like tears in rain, Ghostrunners narrative dissipates without a trace. Secondary characters constantly bark lore bits and plot details at you, but its impressive consistency cant override its inconvenience and generally middling quality. Nailing consecutive wall-runs while avoiding death and finding the right grapple point after a leap of faith takes a significant amount of concentration. Survival is more important, meaning your brainpower is going to be allocated to that and not the two faceless characters dumping lore on you. Ghostrunner is all about moving forward so this approach is better than cutscenes that screech the breakneck pacing to halt, but it still probably isnt the optimal way to convey a story, especially one so determined on fleshing out its dystopian world.

And even though that world is a broken dystopian nightmare, Ghostrunners gameplay is just the opposite. Slicing and sprinting through each dilapidated factory and string of sharply lit billboards is a rush because of how satisfying it is to control as well as how it, through its design, pushes players to play well enough to get the most out of its systems. A seasoned ninja strikes perfectly without any fatal faults; an apt summary of the gameplay loop and Ghostrunner as a whole.

Game Revolution reviewed Ghostrunner on PC. Code provided by the publisher.

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Best Shots review: Rick Remender’s Uncanny X-Force "an aesthetically stunning, intelligently written collision course of the relativity of good…

Uncanny X-Force has been a wild ride from the beginning. Curiosity sparked by Esad Ribic's seductive cover art led me to pick up Uncanny X-Force #1. The issue turned out to be a fast-moving art powerhouse and a character goldmine - a sign of things to come in Remender's 37-issue run.

Uncanny X-Force credits

Written by Rick RemenderArt by Jerome Opea, Dean White, Esad Ribic, John Lucas, Matthew Wilson, Rafael Albuquerque, Billy Tan, Rich Elson, Paul Mounts, Mark Brooks, Andrew Currie, Scott Eaton, Andrew Hennessy, Jose Villarubia, Chris Sotomayor, Robbi Rodriguez, James Campbell, Greg Tocchini, Mike McKone, Julian Tedesco, Justin Ponsor, David Williams, Frank Martin Jr., Rachelle Rosenberg and Phil NotoLettering by Cory PetitPublished by Marvel Comics

Beautiful art, powerful characterization, and dichotomous themes are key elements to what make Uncanny X-Force such a solid comic book. But the real magic is in the impeccable pacing Remender employs throughout the entire series. From battling the Horsemen of Apocalypse to Wolverine's pain of failing as a father or Betsy cowering in a corner with a fragmented psyche to Wolverine viciously stabbing Creed for the umpteenth time; Remender moves from the action and violence to the motives of the characters like breathing. It is a brilliant balancing act.

The stakes are extremely high in Uncanny X-Force. It is always a matter of life or death, kill or be killed. Whoever you are rooting for may or may not be wearing a white hat. But when your mission is assassination then who really is? Remender's ever-engaging balancing act shows just how fluid the answer to that question is. "Will there always be bad people trying to kill me?," a young but not-quite-indoctrinated Apocalypse asks. This young boy is being bred by Clan Akkaba to bring humanity on this Earth to extinction, but it is Wolverine and his band of merry executioners that are perceived as "bad" by the boy. This is the first of many instances where the relativity of ethics is played like a drum by Remender.

The first page of the first issue is filled with the deep blue and brilliant greens painted by Dean White onto Jerome Opea's gorgeous art. Opea's signature is in his precise detail and striking perspectives. White's enchanting colors unequivocally define the books visual tone. Every page these two artists create - sometimes dark, sometimes gruesome, sometimes intricate - is a thing of beauty. The symbiosis of Opea and White sets the aesthetic bar very high.

The four-issue, quick-and-dirty opening arc 'The Apocalypse Solution' is an exercise in instant gratification, with illustrations beyond pretty and a story that climaxes so fast you barely have time to meditate on the ethical quid pro quo. Archangel has been tracking the suspected location of Apocalypse. He employs those closest to him to join him in this task. Remender invokes a rapid-fire introduction to the team Wolverine, Psylocke, Fantomex, Deadpool, and Archangel as they square off with the Final Horsemen of Apocalypse on the surface of the moon. As X-Force makes their way past the Horsemen, they find Apocalypse has been reincarnated as a child. And as quickly as X-Force banded together for the greater good, this black ops mission becomes the defining moment of the entire series. Fantomex's actions in the face of opposition from his entire team will tear them apart from within and propel Remenders overarching theme of ethical relativism through the next 36 issues.

Cyborg mutant mash-ups come raining down from the future in hot pursuit of Fantomex and The World. In their future time-line, because of X-Force's Apocalypse solution and its chain of causality - mutantkind is destined to become judge, jury, and executioner. The cyborgs were created to avert this future of standardized X-Force-style preventative retribution. It is here that Remender starts playing with the infinite regress of 'killing a killer' for what might happen.

With the consequences of Fantomex's actions immediately rolling in in the second arc, 'Deathlok Nation,' deep remorse reverberates through the team. Deadpool has the kind of guilt that prompted him to call a meeting of the entire team so he can cope out loud. In this meeting, Wolverine aggressively rationalizes their choice and projects the anger at himself out onto his team. As they confront this together, here is where Remender draws you in. Here is where we see that they are human. The ethics of their actions melt away into how they each carry the burden within themselves. These are not evil people.

Cover artist extraordinaire Esad Ribic takes on interior art duties for this arc. His sequential art is clean and detailed. He creates phenomenal action sequences as a cyborg Hawkeye, Spider-Man, and Captain America are in hot pursuit of Fantomex over snow-covered mountains. Paired with Matthew Wilson on color duties, the two make for a nice consistency of high-quality illustration following Opea and White.

The cyborg known as Deathlok is an anomaly that attempts to save Fantomex, and in doing so becomes a part of the team. The character reads as an examination of ethics in evolution. While the flesh part of Deathlok is a merciless killer, the cyborg artificial intelligence within him evolves to discover the inherent evil of enslavement. To be one of the cyborgs is to be enslaved as they are part of a collective consciousness. Deathlok's affinity for free will keeps the kinder AI consciousness at the forefront, but the evil part of his brain still exists. The character moves between the two sides as is necessary punctuating the notion of free will as well as being a poster child of Utilitarianism. Deathlok actively chooses to be 'good' or 'evil' as the missions call for it.

With this in mind, Remender segues into 'The Dark Angel Saga' with a few one-shot stories, each worthy of mention. He expands upon Psylocke, Wolverine, and Archangel respectively, adding depth to already well-defined characters and to the overall story.

Uncanny X-Force #5.1 takes an intense look at Psylocke. It is, at times, hard to read, but I couldn't look away. This mission pits the team against Lady Deathstrike and the Reavers, placing the Reavers in the sights of Psylocke. The story centers on her rage at what was done to her by the Reavers. They are the reason she is not in her original body. She delights at the opportunity for revenge on this mission. Again, Remender demonstrates the function of X-Force, while showing just how wrong it all is. Rafael Albuquerque illustrates this one issue, and his work is superb. He conveys the tone of grit and gloom with dynamic action and gruesome perspectives. His work makes 5.1 one of the darkest issues in the bunch.

Uncanny X-Force #8, aptly titled 'Unintended Consequences,' sees the art duties baton passed to Billy Tan and the return of colorist, Dean White. A perfectly paced issue that pits Psylocke against the Shadow King in a telepathic battle. A battle not limited by gravity or reality gave Tan and White the opportunity to be beautifully creative, and render some of the most memorable panels in the Uncanny X-Force run. There is one in particular of Psylocke as Lady Mandarin, poised for battle, which is drawn exquisitely and colored with bright magenta, purple and blue. It is in this battle that we see the return of the Dark Angel.

Remender takes a beat in issue #9, an issue between missions. 'High Art' is primarily a visual story that is low on dialogue. Magneto surprises X-Force (and the reader) with a visit. This issue is Magnetos story. Tan is still on art duties, and with White's painting, he really shines here. The panel layout reads like sequential movie screens, wide and four to a page. The simplicity serves Remender's intelligently measured pacing. The facial expressiveness, strong body language, and unique visual perspectives make the scant dialogue still very telling. Warren hides his Archangel influence, Wolverine reiterates the Utilitarian mantra of their black ops outfit. The subtle character reveals that unfold are a perfect build-up to 'The Dark Angel Saga.'

Uncanny X-Force #10 reveals 'The Killer Within Warren,' and the team's next mission is to save Warren from Archangel. This is a necessary moment to the story because it is revealed that Archangel takes full control of Warren's psyche. We need that information to move forward, but as a whole, this is not a great issue. The story moments feel obligatory and it is one of very few where the art suffers. Tan takes assists from Rich Elson, and the consistency and detail are lacking. We also see colors from Paul Mounts who is not Dean White, adding another notch in the inconsistency belt. The art is immediately remedied by Mark Brooks as we begin the next arc. He joins the book as penciller and White returns as X-Force leaves this dimension to go to the Age of Apocalypse, Earth-295.

Heralded by creators and fans alike as one of the best stories of the year, 'The Dark Angel Saga' marks the true climax of Rick Remender's Uncanny X-Force. It is an aesthetically stunning, intelligently written collision course of the relativity of good and evil. Robbi Rodriquez beautifully illustrates the in-between issue of the fallout from 'The Dark Angel Saga' where the consequences of X-Force finally seep into the world of X-Men. Evan, also known as Genesis, is genetically identical to En Sabah Nur. He is byproduct of everything X-Force has done up to this point, a byproduct created by Fantomex unleashed to stop the Dark Angel, and now he is being sent to the Jean Grey School for Higher Learning. Fantomex raised him virtually in the World by a loving family with 'good' values. Nature versus nurture rears its paradoxical head, again. When Wolverine interrogates Fantomex as to why he would do such a thing, another theme becomes clear, too. Redemption.

As Fantomex, Psylocke, Deadpool, and Wolverine travel to the Age of Apocalypse, their worst fears are affirmed as they come face to face with what will happen to their Earth if Apocalypse were to rise to power. In desperate search of the Life Seed that could return their Warren from the grips of Archangel, the team encounters alternate versions of friends, lovers, and foes that have died in their own world. In this dimension, their Wolverine is evil, and so the reaction to X-Force's Wolverine is severe. On the same note, Creed is not evil in the Age of Apocalypse. Genetically the same materials comprised these mutants, yet given their environment - they are very different beings. It begs the question: if evolution is so superior in its natural selection, how is it that nurture weighs so heavily?

With the Life Seed in hand intent on saving Warren, X-Force returns to their dimension to find that Archangel has been freed by the Clan Akkaba. Everything that the team has worked to prevent comes undone as Archangel ascends as the incarnate of Apocalypse, complete with a powerful cult following. Archangel has set in motion the events to bring about the extinction of all life on Earth. Tabula Rasa. From this blank slate, evolution will reign supreme. All X-Force has to do to stop it is plant the Life Seed into Archangel, but it will kill him.

Remender employs every bit of action and emotion that has been built to conclude 'The Dark Angel Saga' in a resolution that would make any grown comic book-loving person cry. X-Force does what X-Force has to do, kill to survive. This chapter of Uncanny X-Force is made even sweeter by the return of Jerome Opea. He illustrates every bit of violence, suffering, and salvation perfectly.

Revealed as the driving force of causality, Fantomex has been judged for murdering the boy Apocalypse, and Captain Britain and the omniverse watchers of Otherworld intend to punish him for it. Fantomex and Psylocke have sneaked away to Otherworld, and AoA Nightcrawler, Wolverine, and Deadpool follow them to land themselves in the middle of a war. As the three of them are on the verge of becoming casualties in this war raging in Otherworld, Fantomex's judicial fate is in Psylocke's hands.

The emotional storm of the past story arc is punctuated viscerally by the events in Otherworld. It is a particularly cavalier story, the momentum driven by action and violence and only supported by sharp character dialogue. Again, we see how Remender moves through different methods of pacing. The physical chaos in the battle scenes of Otherworld serves as a reprieve from the psychological turmoil of The Dark Angel Saga.

Greg Tocchini's art aptly displays the chaos and intensity happening in Otherworld, but his sketchy, abstract stylization leaves a lot to be desired when it comes to finer detail. However, some interesting perspectives make up for the lack of detail. If you haven't sensed a theme yet, Dean White's colors are a touchstone, and in this instance, a saving grace. Cory Petit, who lettered all but one issue of Remender's run, really shines in this arc. His precise, angular lettering for the Goat Demon added just the right eerie vibe. Collectively, the art works.

After twenty-three issues, Remender's train doesn't lose any steam, and leads us full speed ahead into 'The Final Execution.' In another nod to Remender's penchant for pacing, issue #24 is an in-between issue; AoA Nightcrawler gets his chance at revenge with this Earth's Bobby Drake and we learn what Psylocke gave up in Otherworld to save Fantomex. Drawn to emotional perfection in his signature crispness, Phil Noto joins the ranks of the top-notch artists on this title.

The burden of their missions has left our team battered and broken, especially Psylocke and Fantomex. In spite of Fantomex's detrimental manipulations, he's fallen in love with Betsy. But Betsy is too far gone, traumatized to numbness, to return any such emotion. The fearless leader, Wolverine, is left with AoA Nightcrawler whose sole desire is revenge and a Wade that has a new, pretty face and no healing factor. Things are falling apart, leaving a feeling of desolation and failure. Even though their missions have been a 'success' up to this point, their asses are writing checks that their souls can't cash.

Is killing in the name of good ... really good? When and why is killing the answer? Who decides who is worthy of life and who is sentenced to death? Isn't it just two sides of the same coin? All of these questions permeate Remender's Uncanny X-Force, and he brings it all to a satisfying close in Final Execution.

With the X-Force team shattered, the new Brotherhood of Evil Mutants moves in to exact their form of justice upon X-Force. Said justice sends the team 30 years in the future to witness everything they feared had come to be and what an X-Force of the future looks like. It's a place where Betsy Braddock is leader, and they kill preemptively to prevent crime. It is here that Remender gives one of the most provocative and ethically relative moments of the series when Betsy has a conversation with her future self.

Mike McKone fills in for an issue and his art is good. From backgrounds to facial close-ups, I was impressed by the crispness of it all. McKone's striking clarity combined with White's always vibrant colorwork served as a nice fill-in for Phil Noto. But I was happy when Noto returned, but he is only around for two issues. Then Julian Totino Tedesco and Dave Williams fill in on art duties for a few issues. While neither of them hurt the aesthetic of the book, they don't do anything in particular to raise it. Tedesco has a few really striking panels, but much of the rest, Williams included, feels rushed. A natural consequence of a book that is shipping 18 issues a year. Thankfully, Noto returns to finish out the series.

Noto's work is, as always, crisp, clean, and easy on the eyes. Noto seems to take extra care with the final issues. I don't know where Frank Martin, Jr.'s colors end, and Dean White's begin. That is a good thing. I consider White to be the gold standard in coloring, and Martin's work here is just as good.

The new Brotherhood of Evil Mutants - Daken, Sabretooth, Shadow King, Mystique, Blob, and Skinless Man - is intent on bringing out the evil they believe exists inherently in Evan, the clone of En Sabah Nur. Once they get Evan in their grips, everyone has their own agenda, and inflicting suffering is the modus operandi. Daken is particularly deplorable, but the most captivating moments are with Mystique. She is subtle and demure with her evil, and her calm demeanor almost makes you a sympathizer to her cause. Maybe it is just how beautifully Phil Noto draws her. Best. Returned from the future, X-Force is intent on stopping the Brotherhood from corrupting Evan.

The character exposition of the Brotherhood of Evil Mutants creates a provocative juxtaposition with the members of X-Force because their respective motivations aren't that different. In a final push of utilitarianism versus the Kantian ethics of superheroes, Remender illustrates the irony and hypocrisy that is the X-Force. It is an infinite regress of murdering murderers, and the ethical dilemma of X-Force's existence is unavoidable. Isn't the Brotherhood operating under the same ethics as X-Force? Is the way X-Force kills any less cruel? Remender paints the ultimate shade of grey that throws the identity of this story's hero up in the air.

Alpha and Omega. Life and Death. Genesis and Apocalypse. Good and Evil. Nature and Nurture. If we are truly born 'Tabula Rasa,' then our nature is how we are nurtured. If nurture is the true bottom line, then why bother with the superiority or inferiority of a species? The past is the greatest indicator of the future, but who you are now may not be who you become. In Uncanny X-Force #35, the final issue, Remender defines the hero of this story in one of comic books' most heartfelt moments. It's one for the record books, as is the entire series.

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Best Shots review: Rick Remender's Uncanny X-Force "an aesthetically stunning, intelligently written collision course of the relativity of good...

Impact Of Covid 19 On Gaming Mouses Market 2020 Industry Challenges, Business Overview And Forecast Research Study 2026 – PRnews Leader

Gaming Mouses Market Data and Acquisition Research Study with Trends and Opportunities 2019-2024The study of Gaming Mouses market is a compilation of the market of Gaming Mouses broken down into its entirety on the basis of types, application, trends and opportunities, mergers and acquisitions, drivers and restraints, and a global outreach. The detailed study also offers a board interpretation of the Gaming Mouses industry from a variety of data points that are collected through reputable and verified sources. Furthermore, the study sheds a lights on a market interpretations on a global scale which is further distributed through distribution channels, generated incomes sources and a marginalized market space where most trade occurs.

Along with a generalized market study, the report also consists of the risks that are often neglected when it comes to the Gaming Mouses industry in a comprehensive manner. The study is also divided in an analytical space where the forecast is predicted through a primary and secondary research methodologies along with an in-house model.

Download PDF Sample of Gaming Mouses Market report @ https://hongchunresearch.com/request-a-sample/77006

Key players in the global Gaming Mouses market covered in Chapter 4:EncoreBlackwebRazerAZioDuble SwallowBLOODYRoccatMADCATZGeniusCyborg R.A.TLenovoLogitechMicrosoftCorsairA4TECHGeniusASUSSteelSeriesAvocentMionixKensingtonHPRAPOO

In Chapter 11 and 13.3, on the basis of types, the Gaming Mouses market from 2015 to 2026 is primarily split into:MMO Gaming MouseFPS Gaming MouseRTS Gaming MouseMOBA Gaming Mouse

In Chapter 12 and 13.4, on the basis of applications, the Gaming Mouses market from 2015 to 2026 covers:ComputerTVGame MachinesOther

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2026) of the following regions are covered in Chapter 5, 6, 7, 8, 9, 10, 13:North America (Covered in Chapter 6 and 13)United StatesCanadaMexicoEurope (Covered in Chapter 7 and 13)GermanyUKFranceItalySpainRussiaOthersAsia-Pacific (Covered in Chapter 8 and 13)ChinaJapanSouth KoreaAustraliaIndiaSoutheast AsiaOthersMiddle East and Africa (Covered in Chapter 9 and 13)Saudi ArabiaUAEEgyptNigeriaSouth AfricaOthersSouth America (Covered in Chapter 10 and 13)BrazilArgentinaColumbiaChileOthers

For a global outreach, the Gaming Mouses study also classifies the market into a global distribution where key market demographics are established based on the majority of the market share. The following markets that are often considered for establishing a global outreach are North America, Europe, Asia, and the Rest of the World. Depending on the study, the following markets are often interchanged, added, or excluded as certain markets only adhere to certain products and needs.

Here is a short glance at what the study actually encompasses:Study includes strategic developments, latest product launches, regional growth markers and mergers & acquisitionsRevenue, cost price, capacity & utilizations, import/export rates and market shareForecast predictions are generated from analytical data sources and calculated through a series of in-house processes.

However, based on requirements, this report could be customized for specific regions and countries.

Brief about Gaming Mouses Market Report with [emailprotected]https://hongchunresearch.com/report/gaming-mouses-market-size-2020-77006

Some Point of Table of Content:

Chapter One: Report Overview

Chapter Two: Global Market Growth Trends

Chapter Three: Value Chain of Gaming Mouses Market

Chapter Four: Players Profiles

Chapter Five: Global Gaming Mouses Market Analysis by Regions

Chapter Six: North America Gaming Mouses Market Analysis by Countries

Chapter Seven: Europe Gaming Mouses Market Analysis by Countries

Chapter Eight: Asia-Pacific Gaming Mouses Market Analysis by Countries

Chapter Nine: Middle East and Africa Gaming Mouses Market Analysis by Countries

Chapter Ten: South America Gaming Mouses Market Analysis by Countries

Chapter Eleven: Global Gaming Mouses Market Segment by Types

Chapter Twelve: Global Gaming Mouses Market Segment by Applications12.1 Global Gaming Mouses Sales, Revenue and Market Share by Applications (2015-2020)12.1.1 Global Gaming Mouses Sales and Market Share by Applications (2015-2020)12.1.2 Global Gaming Mouses Revenue and Market Share by Applications (2015-2020)12.2 Computer Sales, Revenue and Growth Rate (2015-2020)12.3 TV Sales, Revenue and Growth Rate (2015-2020)12.4 Game Machines Sales, Revenue and Growth Rate (2015-2020)12.5 Other Sales, Revenue and Growth Rate (2015-2020)

Chapter Thirteen: Gaming Mouses Market Forecast by Regions (2020-2026) continued

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List of tablesList of Tables and FiguresTable Global Gaming Mouses Market Size Growth Rate by Type (2020-2026)Figure Global Gaming Mouses Market Share by Type in 2019 & 2026Figure MMO Gaming Mouse FeaturesFigure FPS Gaming Mouse FeaturesFigure RTS Gaming Mouse FeaturesFigure MOBA Gaming Mouse FeaturesTable Global Gaming Mouses Market Size Growth by Application (2020-2026)Figure Global Gaming Mouses Market Share by Application in 2019 & 2026Figure Computer DescriptionFigure TV DescriptionFigure Game Machines DescriptionFigure Other DescriptionFigure Global COVID-19 Status OverviewTable Influence of COVID-19 Outbreak on Gaming Mouses Industry DevelopmentTable SWOT AnalysisFigure Porters Five Forces AnalysisFigure Global Gaming Mouses Market Size and Growth Rate 2015-2026Table Industry NewsTable Industry PoliciesFigure Value Chain Status of Gaming MousesFigure Production Process of Gaming MousesFigure Manufacturing Cost Structure of Gaming MousesFigure Major Company Analysis (by Business Distribution Base, by Product Type)Table Downstream Major Customer Analysis (by Region)Table Encore ProfileTable Encore Production, Value, Price, Gross Margin 2015-2020Table Blackweb ProfileTable Blackweb Production, Value, Price, Gross Margin 2015-2020Table Razer ProfileTable Razer Production, Value, Price, Gross Margin 2015-2020Table AZio ProfileTable AZio Production, Value, Price, Gross Margin 2015-2020Table Duble Swallow ProfileTable Duble Swallow Production, Value, Price, Gross Margin 2015-2020Table BLOODY ProfileTable BLOODY Production, Value, Price, Gross Margin 2015-2020Table Roccat ProfileTable Roccat Production, Value, Price, Gross Margin 2015-2020Table MADCATZ ProfileTable MADCATZ Production, Value, Price, Gross Margin 2015-2020Table Genius ProfileTable Genius Production, Value, Price, Gross Margin 2015-2020Table Cyborg R.A.T ProfileTable Cyborg R.A.T Production, Value, Price, Gross Margin 2015-2020Table Lenovo ProfileTable Lenovo Production, Value, Price, Gross Margin 2015-2020Table Logitech ProfileTable Logitech Production, Value, Price, Gross Margin 2015-2020Table Microsoft ProfileTable Microsoft Production, Value, Price, Gross Margin 2015-2020Table Corsair ProfileTable Corsair Production, Value, Price, Gross Margin 2015-2020Table A4TECH ProfileTable A4TECH Production, Value, Price, Gross Margin 2015-2020Table Genius ProfileTable Genius Production, Value, Price, Gross Margin 2015-2020Table ASUS ProfileTable ASUS Production, Value, Price, Gross Margin 2015-2020Table SteelSeries ProfileTable SteelSeries Production, Value, Price, Gross Margin 2015-2020Table Avocent ProfileTable Avocent Production, Value, Price, Gross Margin 2015-2020Table Mionix ProfileTable Mionix Production, Value, Price, Gross Margin 2015-2020Table Kensington ProfileTable Kensington Production, Value, Price, Gross Margin 2015-2020Table HP ProfileTable HP Production, Value, Price, Gross Margin 2015-2020Table RAPOO ProfileTable RAPOO Production, Value, Price, Gross Margin 2015-2020Figure Global Gaming Mouses Sales and Growth Rate (2015-2020)Figure Global Gaming Mouses Revenue ($) and Growth (2015-2020)Table Global Gaming Mouses Sales by Regions (2015-2020)Table Global Gaming Mouses Sales Market Share by Regions (2015-2020)Table Global Gaming Mouses Revenue ($) by Regions (2015-2020)Table Global Gaming Mouses Revenue Market Share by Regions (2015-2020)Table Global Gaming Mouses Revenue Market Share by Regions in 2015Table Global Gaming Mouses Revenue Market Share by Regions in 2019Figure North America Gaming Mouses Sales and Growth Rate (2015-2020)Figure Europe Gaming Mouses Sales and Growth Rate (2015-2020)Figure Asia-Pacific Gaming Mouses Sales and Growth Rate (2015-2020)Figure Middle East and Africa Gaming Mouses Sales and Growth Rate (2015-2020)Figure South America Gaming Mouses Sales and Growth Rate (2015-2020)Figure North America Gaming Mouses Revenue ($) and Growth (2015-2020)Table North America Gaming Mouses Sales by Countries (2015-2020)Table North America Gaming Mouses Sales Market Share by Countries (2015-2020)Figure North America Gaming Mouses Sales Market Share by Countries in 2015Figure North America Gaming Mouses Sales Market Share by Countries in 2019Table North America Gaming Mouses Revenue ($) by Countries (2015-2020)Table North America Gaming Mouses Revenue Market Share by Countries (2015-2020)Figure North America Gaming Mouses Revenue Market Share by Countries in 2015Figure North America Gaming Mouses Revenue Market Share by Countries in 2019Figure United States Gaming Mouses Sales and Growth Rate (2015-2020)Figure Canada Gaming Mouses Sales and Growth Rate (2015-2020)Figure Mexico Gaming Mouses Sales and Growth (2015-2020)Figure Europe Gaming Mouses Revenue ($) Growth (2015-2020)Table Europe Gaming Mouses Sales by Countries (2015-2020)Table Europe Gaming Mouses Sales Market Share by Countries (2015-2020)Figure Europe Gaming Mouses Sales Market Share by Countries in 2015Figure Europe Gaming Mouses Sales Market Share by Countries in 2019Table Europe Gaming Mouses Revenue ($) by Countries (2015-2020)Table Europe Gaming Mouses Revenue Market Share by Countries (2015-2020)Figure Europe Gaming Mouses Revenue Market Share by Countries in 2015Figure Europe Gaming Mouses Revenue Market Share by Countries in 2019Figure Germany Gaming Mouses Sales and Growth Rate (2015-2020)Figure UK Gaming Mouses Sales and Growth Rate (2015-2020)Figure France Gaming Mouses Sales and Growth Rate (2015-2020)Figure Italy Gaming Mouses Sales and Growth Rate (2015-2020)Figure Spain Gaming Mouses Sales and Growth Rate (2015-2020)Figure Russia Gaming Mouses Sales and Growth Rate (2015-2020)Figure Asia-Pacific Gaming Mouses Revenue ($) and Growth (2015-2020)Table Asia-Pacific Gaming Mouses Sales by Countries (2015-2020)Table Asia-Pacific Gaming Mouses Sales Market Share by Countries (2015-2020)Figure Asia-Pacific Gaming Mouses Sales Market Share by Countries in 2015Figure Asia-Pacific Gaming Mouses Sales Market Share by Countries in 2019Table Asia-Pacific Gaming Mouses Revenue ($) by Countries (2015-2020)Table Asia-Pacific Gaming Mouses Revenue Market Share by Countries (2015-2020)Figure Asia-Pacific Gaming Mouses Revenue Market Share by Countries in 2015Figure Asia-Pacific Gaming Mouses Revenue Market Share by Countries in 2019Figure China Gaming Mouses Sales and Growth Rate (2015-2020)Figure Japan Gaming Mouses Sales and Growth Rate (2015-2020)Figure South Korea Gaming Mouses Sales and Growth Rate (2015-2020)Figure Australia Gaming Mouses Sales and Growth Rate (2015-2020)Figure India Gaming Mouses Sales and Growth Rate (2015-2020)Figure Southeast Asia Gaming Mouses Sales and Growth Rate (2015-2020)Figure Middle East and Africa Gaming Mouses Revenue ($) and Growth (2015-2020) continued

About HongChun Research:HongChun Research main aim is to assist our clients in order to give a detailed perspective on the current market trends and build long-lasting connections with our clientele. Our studies are designed to provide solid quantitative facts combined with strategic industrial insights that are acquired from proprietary sources and an in-house model.

Contact Details:Jennifer GrayManager Global Sales+ 852 8170 0792[emailprotected]

NOTE: Our report does take into account the impact of coronavirus pandemic and dedicates qualitative as well as quantitative sections of information within the report that emphasizes the impact of COVID-19.

As this pandemic is ongoing and leading to dynamic shifts in stocks and businesses worldwide, we take into account the current condition and forecast the market data taking into consideration the micro and macroeconomic factors that will be affected by the pandemic.

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Impact Of Covid 19 On Gaming Mouses Market 2020 Industry Challenges, Business Overview And Forecast Research Study 2026 - PRnews Leader

What is the Justice League Snyder Cut costing HBO Max – Looper

For the record, 2020 is not your typical year at the box office, and 2021 is looking to, similarly, be a year in which filming is reduced and the viability of theaters is limited. Therefore, we can immediately infer that a Snyder Cut of Justice League makes sense in that it's an oddity, its social media presence is huge, most of it is already filmed, and Zack Snyder said he'd work for free!

Early estimates clocked the bill for this new Justice League at around $20-30 million, but more recently, that number has ballooned up to around $70 million as a result of reshoots and loads of new visual effects.

Senior Box Office Analyst Jeff Bock seems to think, however, that the price tag could go even higher. "While Justice League wasn't The Avengers DC was hoping for at the box office, there is no denying superheroes and their machinations are still the champions of social media," says Bock. "Considering content is at a premium right now, and we're in the middle of an all-out war for eyeballs, HBO Max investing upwards of $100 million for an extended comic book caper seems like a solid play for subscribers."

The reigning highest budget for a film is Pirates of the Caribbean: On Stranger Tides which cost $378.5 million to make back in 2011. If you consider Justice League and the new Snyder cut of the film all one movie, however, then that record is potentially about to be broken.

Will $400 million spent on one superhero story be worth it? Only time will tell. The Snyder Cut of Justice League is set for release in 2021 on HBO Max.

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What is the Justice League Snyder Cut costing HBO Max - Looper

Can AI and connected tech foster better disaster decision-making? – GCN.com

Can AI and connected tech foster better disaster decision-making?

Florida communities frequently battered by hurricanes, flooding and tornadoes may soon have more tools for responding to and bouncing back from disasters.

Researchers at the University of Central Florida have launched a three-year interdisciplinary project that will examine how artificial intelligence and smart technologies can improve collective decision-making among emergency managers, local government agencies, businesses and nonprofits. The goal is to reduce community vulnerability and enhance resilience.

Although smart technologies -- like streetlights that monitor traffic flow or sensors that transmit real-time data about rising water levels -- provide emergency managers with situational awareness, the increasing amount of data is becoming unmanageable without some AI assistance.

One facet of the project will use AI for real-time analysis and reporting on the massive amount of incoming emergency management data -- including social media text and images -- so community leaders can be better prepared and craft informed responses.

The study, funded by a $1.2 million grant from the National Science Foundation, area will cover 78 towns and cities in eight counties in east central Florida with the idea that improvements in community resilience could be generalized to other locations.

The research design assessing resilience changes will help decision makers in governments, businesses and nonprofits obtain a deeper understanding of how AI-aided information technologies can advance collective decision making to reduce community vulnerability and enhance resilience, Yue Gurt Ge, an assistant professor in the universitysSchool of Public Administrationand principal investigator of the project, told UCF Today.

The researchers will also develop and launch the Community Resilience Data Depot, a platform that will allow community leaders and emergency personnel to share data more easily and support real-time collective decision-making.

The projects proposed metrics to assess the extent and speed of achieving appropriate post-event functionality will help address a nationwide community capacity building need to quantitatively evaluate resilience increases by public-private partnerships, Ge said.

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Can AI and connected tech foster better disaster decision-making? - GCN.com

The Next Generation Of Artificial Intelligence (Part 2) – Forbes

Deep learning pioneer Yoshua Bengio has provocative ideas about the future of AI.

For the first part of this article series, see here.

The field of artificial intelligence moves fast. It has only been 8 years since the modern era of deep learning began at the 2012 ImageNet competition. Progress in the field since then has been breathtaking and relentless.

If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Methods that are currently considered cutting-edge will have become outdated; methods that today are nascent or on the fringes will be mainstream.

What will the next generation of artificial intelligence look like? Which novel AI approaches will unlock currently unimaginable possibilities in technology and business?

My previous column covered three emerging areas within AI that are poised to redefine the fieldand societyin the years ahead. This article will cover three more.

AI is moving to the edge.

There are tremendous advantages to being able to run AI algorithms directly on devices at the edgee.g., phones, smart speakers, cameras, vehicleswithout sending data back and forth from the cloud.

Perhaps most importantly, edge AI enhances data privacy because data need not be moved from its source to a remote server. Edge AI is also lower latency since all processing happens locally; this makes a critical difference for time-sensitive applications like autonomous vehicles or voice assistants. It is more energy- and cost-efficient, an increasingly important consideration as the computational and economic costs of machine learning balloon. And it enables AI algorithms to run autonomously without the need for an Internet connection.

Nvidia CEO Jensen Huang, one of the titans of the AI business world, sees edge AI as the future of computing: AI is moving from the cloud to the edge, where smart sensors connected to AI computers can speed checkouts, direct forklifts, orchestrate traffic, save power. In time, there will be trillions of these small autonomous computers, powered by AI.

But in order for this lofty vision of ubiquitous intelligence at the edge to become a reality, a key technology breakthrough is required: AI models need to get smaller. A lot smaller. Developing and commercializing techniques to shrink neural networks without compromising their performance has thus become one of the most important pursuits in the field of AI.

The typical deep learning model today is massive, requiring significant computational and storage resources in order to run. OpenAIs new language model GPT-3, which made headlines this summer, has a whopping 175 billion model parameters, requiring more than 350 GB just to store the model. Even models that dont approach GPT-3 in size are still extremely computationally intensive: ResNet-50, a widely used computer vision model developed a few years ago, uses 3.8 billion floating-point operations per second to process an image.

These models cannot run at the edge. The hardware processors in edge devices (think of the chips in your phone, your Fitbit, or your Roomba) are simply not powerful enough to support them.

Developing methods to make deep learning models more lightweight therefore represents a critical unlock: it will unleash a wave of product and business opportunities built around decentralized artificial intelligence.

How would such model compression work?

Researchers and entrepreneurs have made tremendous strides in this field in recent years, developing a series of techniques to miniaturize neural networks. These techniques can be grouped into five major categories: pruning, quantization, low-rank factorization, compact convolutional filters, and knowledge distillation.

Pruning entails identifying and eliminating the redundant or unimportant connections in a neural network in order to slim it down. Quantization compresses models by using fewer bits to represent values. In low-rank factorization, a models tensors are decomposed in order to construct sparser versions that approximate the original tensors. Compact convolutional filters are specially designed filters that reduce the number of parameters required to carry out convolution. Finally, knowledge distillation involves using the full-sized version of a model to teach a smaller model to mimic its outputs.

These techniques are mostly independent from one another, meaning they can be deployed in tandem for improved results. Some of them (pruning, quantization) can be applied after the fact to models that already exist, while others (compact filters, knowledge distillation) require developing models from scratch.

A handful of startups has emerged to bring neural network compression technology from research to market. Among the more promising are Pilot AI, Latent AI, Edge Impulse and Deeplite. As one example, Deeplite claims that its technology can make neural networks 100x smaller, 10x faster, and 20x more power efficient without sacrificing performance.

The number of devices in the world that have some computational capability has skyrocketed in the last decade, explained Pilot AI CEO Jon Su. Pilot AIs core IP enables a significant reduction in the size of the AI models used for tasks like object detection and tracking, making it possible for AI/ML workloads to be run directly on edge IoT devices. This will enable device manufacturers to transform the billions of sensors sold every yearthings like push button doorbells, thermostats, or garage door openersinto rich tools that will power the next generation of IoT applications.

Large technology companies are actively acquiring startups in this category, underscoring the technologys long-term strategic importance. Earlier this year Apple acquired Seattle-based Xnor.ai for a reported $200 million; Xnors technology will help Apple deploy edge AI capabilities on its iPhones and other devices. In 2019 Tesla snapped up DeepScale, one of the early pioneers in this field, to support inference on its vehicles.

And one of the most important technology deals in yearsNvidias pending $40 billion acquisition of Arm, announced last monthwas motivated in large part by the accelerating shift to efficient computing as AI moves to the edge.

Emphasizing this point, Nvidia CEO Jensen Huang said of the deal: Energy efficiency is the single most important thing when it comes to computing going forward....together, Nvidia and Arm are going to create the world's premier computing company for the age of AI.

In the years ahead, artificial intelligence will become untethered, decentralized and ambient, operating on trillions of devices at the edge. Model compression is an essential enabling technology that will help make this vision a reality.

Todays machine learning models mostly interpet and classify existing data: for instance, recognizing faces or identifying fraud. Generative AI is a fast-growing new field that focuses instead on building AI that can generate its own novel content. To put it simply, generative AI takes artificial intelligence beyond perceiving to creating.

Two key technologies are at the heart of generative AI: generative adversarial networks (GANs) and variational autoencoders (VAEs).

The more attention-grabbing of the two methods, GANs were invented by Ian Goodfellow in 2014 while he was pursuing his PhD at the University of Montreal under AI pioneer Yoshua Bengio.

Goodfellows conceptual breakthrough was to architect GANs with two separate neural networksand then pit them against one another.

Starting with a given dataset (say, a collection of photos of human faces), the first neural network (called the generator) begins generating new images that, in terms of pixels, are mathematically similar to the existing images. Meanwhile, the second neural network (the discriminator) is fed photos without being told whether they are from the original dataset or from the generators output; its task is to identify which photos have been synthetically generated.

As the two networks iteratively work against one anotherthe generator trying to fool the discriminator, the discriminator trying to suss out the generators creationsthey hone one anothers capabilities. Eventually the discriminators classification success rate falls to 50%, no better than random guessing, meaning that the synthetically generated photos have become indistinguishable from the originals.

In 2016, AI great Yann LeCun called GANs the most interesting idea in the last ten years in machine learning.

VAEs, introduced around the same time as GANs, are a conceptually similar technique that can be used as an alternative to GANs.

Like GANs, VAEs consist of two neural networks that work in tandem to produce an output. The first network (the encoder) takes a piece of input data and compresses it into a lower-dimensional representation. The second network (the decoder) takes this compressed representation and, based on a probability distribution of the original datas attributes and a randomness function, generates novel outputs that riff on the original input.

In general, GANs generate higher-quality output than do VAEs but are more difficult and more expensive to build.

Like artificial intelligence more broadly, generative AI has inspired both widely beneficial and frighteningly dangerous real-world applications. Only time will tell which will predominate.

On the positive side, one of the most promising use cases for generative AI is synthetic data. Synthetic data is a potentially game-changing technology that enables practitioners to digitally fabricate the exact datasets they need to train AI models.

Getting access to the right data is both the most important and the most challenging part of AI today. Generally, in order to train a deep learning model, researchers must collect thousands or millions of data points from the real world. They must then have labels attached to each data point before the model can learn from the data. This is at best an expensive and time-consuming process; at worst, the data one needs is simply impossible to get ones hands on.

Synthetic data upends this paradigm by enabling practitioners to artificially create high-fidelity datasets on demand, tailored to their precise needs. For instance, using synthetic data methods, autonomous vehicle companies can generate billions of different driving scenes for their vehicles to learn from without needing to actually encounter each of these scenes on real-world streets.

As synthetic data approaches real-world data in accuracy, it will democratize AI, undercutting the competitive advantage of proprietary data assets. In a world in which data can be inexpensively generated on demand, the competitive dynamics across industries will be upended.

A crop of promising startups has emerged to pursue this opportunity, including Applied Intuition, Parallel Domain, AI.Reverie, Synthesis AI and Unlearn.AI. Large technology companiesamong them Nvidia, Google and Amazonare also investing heavily in synthetic data. The first major commercial use case for synthetic data was autonomous vehicles, but the technology is quickly spreading across industries, from healthcare to retail and beyond.

Counterbalancing the enormous positive potential of synthetic data, a different generative AI application threatens to have a widely destructive impact on society: deepfakes.

We covered deepfakes in detail in this column earlier this year. In essence, deepfake technology enables anyone with a computer and an Internet connection to create realistic-looking photos and videos of people saying and doing things that they did not actually say or do.

The first use case to which deepfake technology has been widely applied is pornography. According to a July 2019 report from startup Sensity, 96% of deepfake videos online are pornographic. Deepfake pornography is almost always non-consensual, involving the artificial synthesis of explicit videos that feature famous celebrities or personal contacts.

From these dark corners of the Internet, the use of deepfakes has begun to spread to the political sphere, where the potential for harm is even greater. Recent deepfake-related political incidents in Gabon, Malaysia and Brazil may be early examples of what is to come.

In a recent report, The Brookings Institution grimly summed up the range of political and social dangers that deepfakes pose: distorting democratic discourse; manipulating elections; eroding trust in institutions; weakening journalism; exacerbating social divisions; undermining public safety; and inflicting hard-to-repair damage on the reputation of prominent individuals, including elected officials and candidates for office.

The core technologies underlying synthetic data and deepfakes are the same. Yet the use cases and potential real-world impacts are diametrically opposed.

It is a great truth in technology that any given innovation can either confer tremendous benefits or inflict grave harm on society, depending on how humans choose to employ it. It is true of nuclear energy; it is true of the Internet. It is no less true of artificial intelligence. Generative AI is a powerful case in point.

In his landmark book Thinking, Fast And Slow, Nobel-winning psychologist Daniel Kahneman popularized the concepts of System 1 thinking and System 2 thinking.

System 1 thinking is intuitive, fast, effortless and automatic. Examples of System 1 activities include recognizing a friends face, reading the words on a passing billboard, or completing the phrase War And _______. System 1 requires little conscious processing.

System 2 thinking is slower, more analytical and more deliberative. Humans use System 2 thinking when effortful reasoning is required to solve abstract problems or handle novel situations. Examples of System 2 activities include solving a complex brain teaser or determining the appropriateness of a particular behavior in a social setting.

Though the System 1/System 2 framework was developed to analyze human cognition, it maps remarkably well to the world of artificial intelligence today. In short, todays cutting-edge AI systems excel at System 1 tasks but struggle mightily with System 2 tasks.

AI leader Andrew Ng summarized this well: If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future.

Yoshua Bengios 2019 keynote address at NeurIPS explored this exact theme. In his talk, Bengio called on the AI community to pursue new methods to enable AI systems to go beyond System 1 tasks to System 2 capabilities like planning, abstract reasoning, causal understanding, and open-ended generalization.

We want to have machines that understand the world, that build good world models, that understand cause and effect, and can act in the world to acquire knowledge, Bengio said.

There are many different ways to frame the AI disciplines agenda, trajectory and aspirations. But perhaps the most powerful and compact way is this: in order to progress, AI needs to get better at System 2 thinking.

No one yet knows with certainty the best way to move toward System 2 AI. The debate over how to do so has coursed through the field in recent years, often contentiously. It is a debate that evokes basic philosophical questions about the concept of intelligence.

Bengio is convinced that System 2 reasoning can be achieved within the current deep learning paradigm, albeit with further innovations to todays neural networks.

Some people think we need to invent something completely new to face these challenges, and maybe go back to classical AI to deal with things like high-level cognition, Bengio said in his NeurIPS keynote. [But] there is a path from where we are now, extending the abilities of deep learning, to approach these kinds of high-level questions of cognitive system 2.

Bengio pointed to attention mechanisms, continuous learning and meta-learning as existing techniques within deep learning that hold particular promise for the pursuit of System 2 AI.

Others, though, believe that the field of AI needs a more fundamental reset.

Professor and entrepreneur Gary Marcus has been a particularly vocal advocate of non-deep-learning approaches to System 2 intelligence. Marcus has called for a hybrid solution that combines neural networks with symbolic methods, which were popular in the earliest years of AI research but have fallen out of favor more recently.

Deep learning is only part of the larger challenge of building intelligent machines, Marcus wrote in the New Yorker in 2012, at the dawn of the modern deep learning era. Such techniques lack ways of representing causal relationships and are likely to face challenges in acquiring abstract ideas....They have no obvious ways of performing logical inferences, and they are also still a long way from integrating abstract knowledge, such as information about what objects are, what they are for, and how they are typically used.

Marcus co-founded robotics startup Robust.AI to pursue this alternative path toward AI that can reason. Just yesterday, Robust announced its $15 million Series A fundraise.

Computer scientist Judea Pearl is another leading thinker who believes the road to System 2 reasoning lies beyond deep learning. Pearl has for years championed causal inferencethe ability to understand cause and effect, not just statistical associationas the key to building truly intelligent machines. As Pearl put it recently: All the impressive achievements of deep learning amount to just curve fitting.

Of the six AI areas explored in this article series, this final one is, purposely, the most open-ended and abstract. There are many potential paths to System 2 AI; the road ahead remains shrouded. It is likely to be a circuitous and perplexing journey. But within our lifetimes, it will transform the economy and the world.

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The Next Generation Of Artificial Intelligence (Part 2) - Forbes

AI Technology Can Enhance Human-Centered Work Instead Of Threaten It – Forbes

AI company Samasource is advocating a human-in-the-loop, model that requires human involvement ... [+] with its advanced technology.

Whenever new technologies change the way we work, some worry that their jobs are in jeopardy. And sometimes, new technologies do make certain jobs obsolete. Artificial intelligence is an emerging force in the business world that has the potential to either replace humans in certain industries or empower humans with better tools, depending on how the technology is utilized. And in the high-unemployment COVID era when the terms outsourcing and AI stoke fears for workforce stability and opportunity, there needs to be a more human-centered approach to workforce training and development.

Samasource, a training data and validation company based in San Francisco, believes AI can enhance how we work and is advocating for human-in-the-loop, a work model that requires human involvement even with advanced technology. It's really this combination of human and artificial intelligence, or human-in-the-loop and machine learning, that will allow us to bring best-in-class technology to solve the world's most pressing challenges, says Heather Gadonniex, the VP of Marketing & Strategic Partnerships at Samasource.

I spoke with Gadonniexas part of my research on purpose-driven businessand to learn about how Samasource is using its advanced technology to enhance human-centered work and provide job opportunities to marginalized communities. Samasource is a Certified B Corporation, a company that has met certain social and environmental standards as verified by the nonprofit B Lab.

Christopher Marquis: Some people worry that artificial intelligence will ultimately replace humans in the workforce. How is Samasource ensuring that AI is used to enhance human-centered work and not fully replace it?

Heather Gadonniex, VP of Marketing & Strategic Partnerships at Samasource.

Heather Gadonniex: Our philosophy is to use artificial intelligence to power and empower the human workforce. We firmly believe in up-skilling. We firmly believe in cross-skilling. And we firmly believe that artificial intelligence, or machine learning, is not necessarily going to negate the need for human involvement but will simply remove more mundane tasks from day-to-day workloads so that humans can focus on tasks that require higher cognition and focus on higher value areas of work.

It's really this combination of human and artificial intelligence, or human-in-the-loop and machine learning, that will allow us to bring best-in-class technology to solve the world's most pressing challenges. And in my opinion, we have enough challenges that need to be solved that we shouldn't shy away from using the power of technology to do that.

We're really embracing, advocating for, and being a voice in the market for this combination of machine intelligence and human intelligence, and at the same time ensuring that there is up-skilling and that there is cross-skilling. Because without that, you don't really have the ability to create environments or workplaces where people are learning the new skills they need to thrive in the next digital economy, or in today's digital economy even. That's really how we perceive this conflict between human and machine, if you will less of a conflict and more of a collaboration.

Marquis: Can you share examples of up-skilling? What does that look like in practice?

Gadonniex: We have a very robust education program internally, called SamaU. So we use a combination of technology platforms plus face-to-face training, and we provide basic digital skills to get people familiarized with working in the digital economy. Because the majority of the workforce that we employ have never had a formal job before they are working in areas that are typically not exposed to the digital economy. For most of them, this is their first full time job that pays living wages. And that, in and of itself, has the power to transform economies, not just lives but full economies.

So, we provide our workers with basic digital skills, and then from there we actually provide ongoing training around topics that focus on machine learning, general artificial intelligence, and soft skills as well, like: How do you manage your finances? How do you become a better boss? How do you work in a professional environment? Many of them have never had the opportunity to learn how to actually manage a paycheck. Oftentimes, they've never even had a steady paycheck. So that soft skill training is equally important to the digital up-skilling and the technology skill training.

We also just completed a randomized control trial with MIT to validate the efficacy of this model. People who received training and employment at Samasource reported 10% lower unemployment rates and wages that are, on average, more than 25% higher than our control group. Our up-skilling programs, our full-time employment programs, and paying living wages had a particularly significant effect on women who received earnings 30% higher than the control group. If you look at economic development as a whole, that is so powerful.

Marquis: How has your business adapted during COVID? And do you have any recommendations for other businesses looking to adapt to these challenges?

Gadonniex: We launched multiple initiatives through 2020 to ensure our employees were able to safely maintain their jobs and continued to deliver the secure, high quality training data that we're known for in the midst of this pandemic. Business continuity was extremely high on the priority list of our customers, especially during the start of COVID. And I think that that makes total sense given the situation.

To ensure continuity, we create a program called Samahome, a partnership between Samasource and local hotels in Kenya and Uganda. We enabled our employees to work in safe environments during the height of the pandemic in these live-work arrangements.

Our team members could opt in to live and work at Samahome. Before they entered the Samahome, everyone was checked to make sure they were healthy. We conducted ongoing health checks, practiced social distancing, and ensured that there were sanitization measures in place.

We recently launched our work-from-home initiative, which actually provides our employees with the necessary resources to effectively work from home. We also have a few teams that are starting to work from our secured delivery centers again, and we're continuing to transition back for certain teams while maintaining social distancing protocols and health checks. The pandemic shifted our business model, so we are exploring maintaining a work-from-home model because this allows us to expand the amount of opportunity that we can provide to the communities in which we operate.

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AI Technology Can Enhance Human-Centered Work Instead Of Threaten It - Forbes

AI will be a big part of the DoDs big data effort – Federal News Network

Best listening experience is on Chrome, Firefox or Safari. Subscribe to Federal Drives daily audio interviews onApple PodcastsorPodcastOne.

The Defense Departments data strategy released just a few weeks ago says improving data management will help it fight and win wars. It says artificial intelligence will become an important component of data-fueled digital modernization. For an assessment, the CEO of data analysis company Govini, Tara Murphy Dougherty joined Federal Drive with Tom Temin.

Tom Temin: Tara, good to have you back.

Tara Murphy Dougherty:Thanks, Tom. Its great to be here.

Tom Temin: So give us from your standpoint, as someone who analyzes DoD data itself, what does this data strategy really say? What are they actually trying to do here?

Tara Murphy Dougherty:Sure. So as a company thats purpose built for national security problems related to data and leveraging the use of AI and machine learning to solve these problems, we do track defense data issues very closely. So I was thrilled to see the data strategy be released in early October. That alone is a significant achievement. But overall, its really strong on content, too, which is not something you can take for granted with these government documents sometimes.

Tom Temin: Well, these types of government documents seem to fall into two categories, I call them 16 pages and under, 200 pages and greater, and this one falls into the smaller category. So its kind of a high level view of what they plan to do. Theres a few fresh acronyms. But is there more beyond that, that were just not seeing in terms of detail of execution?

Tara Murphy Dougherty:There is Tom, theres a lot packed into this relatively short document. And the most important takeaway from the DoD data strategy is that it establishes data as a strategic resource for the department. And that was exactly the right place to start. The second key takeaway is that for the first time, the department is looking holistically at the use of data across the operational battlefield applications of data and use of data in support of joint all-domain operations, as well as senior leader decision support and business analytics, laying that groundwork and taking that holistic approach. Those are really important elements of the first ever data strategy. Like I said, it was the right place to start. And now the question will be can it execute the blueprint that it provides alongside those core elements, which is fairly ambitious.

Tom Temin: Yes, under Section 4 there are seven goals and enabling objectives: Making data visible, making it accessible, understandable, linked, trustworthy, interoperable, and secure. They even have a acronym VAULTIS, for all of that. And thats a big bite that theyve taken here. And it seems like the only sensible way to try to carry it out is application by application, otherwise theyre, to use the old term, boiling the ocean.

Tara Murphy Dougherty:Boiling The ocean is exactly what I thought as well. But as a framework, the comprehensive nature of it works really nicely. And I believe that was the goal. Also, it wouldnt be DoD if they didnt put an acronym on it. So theres that. The key to achieving these goals is not only going to be execution and how this strategy turns into plans, its going to be the answer to the question of whether the department and the leadership is prepared to resource these activities. We may be facing budget cuts in upcoming years, we may not thats still an open question. But as budgets start to constrict, if they head in that direction, this will be a tough area to argue for additional resources and growing investments for modernization. Hopefully, the strategy is effective in cementing the need for those resources and making the case for the importance of this for the department, which it very, very much is. And the key to that importance is really how the strategy talks about the use of data and the role of data in artificial intelligence, which we know is going to play a significant role in the future of warfare. And data is core to effective AI.

Tom Temin: Were speaking with Tara Murphy Dougherty, she is the CEO of Govini. And the DoD does have a dedicated channel of spending on artificial intelligence. Theres a program office for this. And then you have each of the armed services that have their own artificial intelligence requirements they can see clearly, and perhaps program offices working there, plus all of the other components. So integration, governance, all of those pieces would seem to be also equally important here.

Tara Murphy Dougherty:Exactly. And one of the additional recent changes from DoD is the establishment of the first ever chief data officer that happened a few years ago. And theres a new chief data officer in place David Spirk, coming from [U.S. Special Operations Command] very accomplished, defense professional. He has really taken the perspective that DoD needs to think about data, not just in a strategic way, but in a streamlined way, where he as the person accountable and responsible for data operations within DoD can have visibility into the full spectrum of not just data activities and data systems, but also personnel who are working on data, whether thats as data scientists or people supporting the elements of the data enterprise in DoD. That is an ambitious undertaking but if he can pull it off, will be really effective to having a sense of where those resources need to go. And where the department is getting the best return on its investment in data capabilities.

Tom Temin: Is it necessary for them to inventory the data that the department has? I think the reference is to the larger massive flows of data that are generated? Or is it better to approach it from the application standpoint, by saying, heres what we want to do. Now lets go find the data thats out there that we need for this, and maybe back into some kind of a catalog?

Tara Murphy Dougherty:Its probably best to start with how data is being used. This is an area where the Joint Artificial Intelligence Center for DoD has done a really good job of highlighting the most important areas where DoD needs to be using its data and starting there in terms of setting standards and improving data hygiene. And the not always glamorous, but actually very important aspects of data work that make it effective. You know, you mentioned earlier, the funding the dedicated funding line for DoD, and theres a lot of funding in the department that goes into AI efforts. Theyre not always centralized. Theyre not always coordinated. This was part of the original premise of creating the JAIC, as its known. And yet we see, on one hand, the department saying that artificial intelligence is a key priority for DoD, and an absolutely important aspect of being an effective competitor in our great power competition that were facing primarily with China. And then on the other hand, you look at the budget numbers and funding for the joint Artificial Intelligence Center is flat over the next five years. So we are going to have to get a handle on not just what the strategy is, not just what the plans are to execute it, but ensure that what goes out the door from a funding perspective actually lines up with that strategy.

Tom Temin: Well, just to make an absurd analogy, which maybe shows that this needs to be very diffuse, you could say that, yes, artificial intelligence is important to competitive advantage. So is the ability to shoot straight and hit the target. But theres not one department of shooting straight. Its something that is distributed over every member thats on the tooth end of the military. So maybe they have to diffuse this artificial intelligence, skill and data knowledge to the edges?

Tara Murphy Dougherty:Thats exactly right. And that is another achievement of the DoD data strategy is the fact that it really took on and took on purposefully, the cultural and workforce aspects of this. I was surprised, frankly, that there was so much attention given to the talent and workforce side of bringing data into DoD and making the department an increasingly data-driven organization. And yet it was exactly right to do so. So then the question will be how much does the department decide it needs to internalize and internally resource or create both from a talent perspective in terms of developing technical skills for its workforce. And how much does it want to rely on the private sector? And thats an area where the department had a really solid model for private sector collaboration in the Cold War. And we certainly over the past 10 to 15 years have seen a significant growth in efforts from the Department of Defense to work with innovative new technology companies, and to reach what were calling the national security innovation base, rather than the traditional defense industrial base. But theres still a long way to go there. And Im not convinced that the department yet has really figured out what its new model is, particularly in the data and software and other technology sectors.

Tom Temin: Sounds like they need a couple of good wins they can point to to kind of give everyone an example of whats possible.

Tara Murphy Dougherty:That would go a long way, particularly on the heels of this data strategy. As I mentioned, just getting it out the door is a big win for DoD. Now it will need to take steps to start to implement it and that will cement these principles, these goals these essential capabilities and indeed the way ahead.

Tom Temin: Tara Murphy Dougherty is the CEO of Govini. Thanks so much.

Tara Murphy Dougherty: Thank you, Tom.

Tom Temin: Well post this interview along with a link to the DoD data strategy at FederalNewsNetwork.com/FederalDrive, subscribe to the Federal Drive at Podcastone or wherever you get your podcasts.

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AI will be a big part of the DoDs big data effort - Federal News Network

How the Army plans to revolutionize tanks with artificial intelligence – C4ISRNet

Even as the U.S. Army attempts to integrate cutting edge technologies into its operations, many of its platforms remain fundamentally in the 20th century.

Take tanks, for example.

The way tank crews operate their machine has gone essentially unchanged over the last 40 years. At a time when the military is enamored with robotics, artificial intelligence and next generation networks, operating a tank relies entirely on manual inputs from highly trained operators.

Currently, tank crews use a very manual process to detect, identify and engage targets, explained Abrams Master Gunner Sgt. 1st Class Dustin Harris. Tank commanders and gunners are manually slewing, trying to detect targets using their sensors. Once they come across a target they have to manually select the ammunition that theyre going to use to service that target, lase the target to get an accurate range to it, and a few other factors.

The process has to be repeated for each target.

That can take time, he added. Everything is done manually still.

On the 21st century battlefield, its an anachronism.

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Army senior leaders recognize that the way the crews in the tank operate is largely analogous to how these things were done 30, 45 years ago, said Richard Nabors, acting principal deputy for systems and modeling at the DEVCOM C5ISR Center.

These senior leaders, many of them with extensive technical expertise, recognized that there were opportunities to improve the way that these crews operate, he added. So they challenged the Combat Capabilities Development Command, the Armaments Center and the C5ISR Center to look at the problem.

On Oct. 28, the Army invited reporters to Aberdeen Proving Ground to see their solution: the Advanced Targeting and Lethality Aided System, or ATLAS.

ATLAS uses advanced sensors, machine learning algorithms and a new touchscreen display to automate the process of finding and firing targets, allowing crews to respond to threats faster than ever before.

The assistance that were providing to the soldiers will speed up those engagement times [and] allow them to execute multiple targets in the same time that they currently take to execute a single target, said Dawne Deaver, C5ISR project lead for ATLAS.

At first glance, the ATLAS prototype the Army had set up looked like something out of a Star Wars film, albeit with treads and not easily harpooned legs. The system was installed on a mishmash of systems a sleek black General Dynamics Griffin I chassis with the Armys Advance Lethality and Accuracy System for Medium Calibur (ALAS-MC) auto-loading 50mm turret stacked on top.

And mounted on top of the turret was a small round Aided Target Recognition (AiTR) sensor a mid-wave infrared imaging sensor to be more exact. Constantly rotating to scan the battlefield, the sensor almost had a life of its own, not unlike an R2 unit on the back of an X-Wing.

Trailing behind the tank and connected via a series of long black cables was a black M113. For this demonstration, the crew station was located inside the M113, not the tank itself. Cavernous compared to the inside of an Abrams tank, the M113 had three short seats lined up. At the forward-most seat was a touchscreen display and a video game-like controller for operating the tank, while further back computer monitors displayed ATLAS' internal processes.

Of course, ATLAS isnt the tank itself, or even the M113 connected to it. The chassis served as a surrogate for either a future tank, fighting vehicle or even a retrofit of current vehicles, while the turret was an available program being developed by the Armaments Center. The M113 is not really meant to be involved at all, but the Army decided to remotely locate the crew station inside of it for safety concerns during a live fire demonstration expected to take place in the coming weeks. ATLAS, Army officials reminded observers again and again, is agnostic to the chassis or turret its installed on.

So if ATLAS isnt the tank, what is it?

Roughly speaking, ATLAS is the mounted sensor collecting data, the machine learning algorithm processing that data, and the display/controller that the crew uses to operate the tank.

Heres how it works:

ATLAS starts with the optical sensor mounted on top of the tank. Once activated, the sensor continuously scans the battlefield, feeding that data into a machine learning algorithm that automatically detects threats.

Images of those threats are then sent to a new touchscreen display, the graphical user interface for the tanks intelligent fire control system. The images are lined up vertically on the left side of the screen, with the main part of the display showing what the gun is currently aimed at. Around the edges are a number of different controls for selecting ammunition, fire type, camera settings and more.

By simply touching one of the targets on the left with your finger, the tank automatically swivels its gun, training its sights on the dead center of the selected object. As it does that, the fire control system automatically recommends the appropriate ammo and setting such as burst or single shot to respond with, though the user can adjust these as needed.

So with the target in its sights, weapon selected, the operator has a choice: Approve the AIs recommendations and pull the trigger, adjust the settings before responding, or disengage. The entire process from target detection to the pull of the trigger can take just seconds. Once the target is destroyed, the operator can simply touch the screen to select the next target picked up by ATLAS.

In automating what are now manual tasks, the aim of ATLAS is to reduce end-to-end engagement times. Army officials declined to characterize how much faster ATLAS is than a traditional tank crew. However, a demo video shown at Aberdeen Proving Ground claimed ATLAS allows the operator to engage three targets in the time it now takes to just engage one.

ATLAS is essentially a marriage between technologies developed by the Armys C5ISR Center and the Armaments Center.

We are integrating, experimenting and prototyping with technology from C5ISR center things like advanced EO/IR targeting sensors, aided target algorithms were taking those technology products and integrating them with intelligent fire control systems from the Armaments Center to explore efficiencies between those technologies that can basically buy back time for tank crews, explained Ground Combat Systems Division Deputy Director Jami Davis.

Starting in August, the Army began bringing in small groups of tank operators to test out the new system, mostly using a new virtual reality setup that replicates the ATLAS display and controller. By gathering soldier feedback early, the Army hopes that they can improve the system quickly and make it ready for fielding that much faster. Already, the Army has brought in 40 soldiers. More soldier touchpoints and a live fire demonstration are anticipated to help the Army mature its product.

In some ways, ATLAS replicates the AI-capabilities demonstrated at Project Convergence in miniature. Project Convergence is the Armys new campaign of learning, designed to integrate new sensor, AI and network capabilities to transform the battlefield. In September, the Army hauled many of its most advanced cutting edge technologies to the desert at Yuma Proving Ground, then tried to connect them in new ways. In short, at Project Convergence the Army tried to create an environment where it could connect any sensor to the best shooter.

The Army demonstrated two types of AI at Project Convergence. First were the automatic target recognition AIs. These machine learning algorithms processed the massive amount of data picked up by the Armys sensors to detect and identify threats on the battlefield, producing targeting data for weapon systems to utilize.

The second type of AI was used for fire control, and is represented by FIRES Synchronization to Optimize Responses in Multi-Domain Operations, or FIRESTORM. Taking in the targeting data from the other AI systems, FIRESTORM automatically looks at the weapons at the Armys disposal and recommends the best one to respond to any given threat.

While ATLAS does not yet have the networking components that tied Project Convergence together across domains, it essentially performs those two tasks: Its AI automatically detects threats and recommends the best response to the human operators. Although the full ATLAS system wasnt hauled out to Project Convergence this year, the Army was able to bring out the virtual prototyping setup to Yuma Proving Ground, and there is hope that ATLAS itself could be involved next year.

To be clear: ATLAS is not meant to replace tank crews. Its meant to make their jobs easier, and in the process, much faster. Even if ATLAS is widely adopted, crews will still need to be trained for manual operations in case the system breaks down. And theyll still need to rely on their training to verify the algorithms recommendations.

We can assist the soldier and reduce the number of manual tasks that they have to do while still retaining the soldiers' ability to always override the system, to always make the final decision of whether or not the target is a threat, whether or not the firing solution is correct, and that they can make that decision to pull the trigger and engage targets, explained Deaver.

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How the Army plans to revolutionize tanks with artificial intelligence - C4ISRNet

10 Tech Jobs That Could Grow in 5 Years Thanks to AI and Automation – Dice Insights

Over the past few years, theres been quite a bit of chatter over the jobs that artificial intelligence (A.I.) will destroy. However, its also worth examining the human jobs that A.I. will help growmany of them in tech.

The World Economic Forum, which regularly analyzes the potential impact of A.I. on the economy and unemployment, has a new report that examines how the COVID-19 pandemic could accelerate the automation of many jobs and tasks. As part of that analysis, it also looks at the longer-term impact of A.I. on the international job market.

Just a few decades ago, the internet created similar concerns as it grew. Despite skepticism, the technology created millions of jobs and now comprises10% of US GDP, read the report. Today, A.I. is poised to create even greater growth in the US and global economies. Sixty-three percent of CEOs believe A.I. will have a larger impact than the internet, according to PwCsAnnual Global CEO Survey.

The World Economic Forums report believes that A.I. and automation will power the creation of 97 million new jobs by 2025, particularly in the following categories:

None of these are surprising; all involve the analysis and wrangling of massive amounts of data and/or code. Increasingly sophisticated automation and analytics tools could make all of these technologists more effective at their jobsfor example, a machine-learning tool for cleaning data sets could make data analysts more efficient at crunching that data for actionable insights. Its a similar principle at work in marketing and cybersecurity, where A.I. could help parse out whats useful from an endless tide of data. More effective employees, in turn, are always in demand.

It seems likely that more and more companies will also want these developers and specialists to build tools and apps that heavily leverage A.I. Without A.I., many of these companies may find themselves at a competitive disadvantage vis--vis rivals willing to pour resources into the development of solid A.I. practices.

Meanwhile, those A.I.-driven forces could take away as many as 85 million jobs, with the following categories especially hard-hit:

The rapid pace of technological change requires new models for training that prepare employees for an A.I.-based future, the report added. Trueupskillingrequires a citizen-led approach focused on applying new knowledge to develop an AI-ready mindset. Employers should view upskilling and reskilling as an investment in the future of their organization, not an expense.

Some 50 percent of employees may require some degree of reskilling over the next five years. And thats not just technical skills; mastering soft skills such as communication and empathy can give you an advantage in a crowded job market, especially if youre applying for any job that requires managing teams and/or conveying information to stakeholders throughout an organization.

Over the next few years, its likely that a broad array of tech jobs will ask for some kind of A.I. and/or machine-learning knowledgethis isnt something restricted to data analysts and other specialists. According to Burning Glass, which collects and analyzes millions of job postings from across the country, here are the percentages of popular technology jobs that ask for machine learning skills:

If youre new to A.I. and machine learning, there area variety of crash courses and training videosthat can quickly bring you up to speed on the fundamental principles.There are also a growing number of certificationsin TensorFlow, AWS machine learning, and other core A.I. platforms.

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10 Tech Jobs That Could Grow in 5 Years Thanks to AI and Automation - Dice Insights

AI to help worlds first removal of space debris – The Next Web

Space is a messy place. Anestimated 34,000 pieces of junk over 10 cm in diameter are currently orbiting Earth at around10 times the speed of a bullet. If one of them hits a spacecraft, the damage could be disastrous.

In September, the International Space Station had to dodge an unknown piece of debris. With the volume of space trash rapidly growing, the chances of acollision are increasing.

TheEuropean Space Agency(ESA) wants to clean up some of the mess with the help of AI. In 2025, it plans to launch the worlds first debris-removing space mission:ClearSpace-1.

The technology is being developed by Swiss startup ClearSpace, a spin-off from the Ecole Polytechnique Fdrale de Lausanne (EPFL). Their removal target isthe now-obsolete Vespa Upper Part, a 100 kg payload adaptor orbiting 660 km above the Earth.

[Read:4 ridiculously easy ways you can be more eco-friendly]

ClearSpace-1 will use an AI-powered camera to find the debris. Its robotic arms will then grab the object and drag it back to the atmosphere before burning it up.

A central focus is to develop deep learning algorithms to reliably estimate the 6D pose (three rotations and three translations) of the target from video-sequences even though images taken in space are difficult, said Mathieu Salzmann, an EPFLscientist spearheading the project. They can be over- or under-exposed with many mirror-like surfaces.

Vespa hasnt been seen for seven years, so EPFL will use a database of synthetic images to simulate its current appearance as training material for the algorithms.

Once the mission begins, theresearchers will capture real-life pictures from beyond the Earths atmosphere to finetune the AI system. The algorithms also need tobe transferred to a dedicated hardware platform onboard the capture satellite.

Since motion in space is well behaved, the pose estimation algorithms can fill the gaps between recognitions spaced one second apart, alleviating the computational pressure, saidProfessor David Atienza, head of ESL.

However, to ensure that they can autonomously cope with all the uncertainties in the mission, the algorithms are so complex that their implementation requires squeezing out all the performance from the platform resources.

If the capture is successful, it could pave the way for further debris-removal missions that can make space a safer place.

Published October 30, 2020 17:27 UTC

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AI to help worlds first removal of space debris - The Next Web

Artificial Intelligence Platform Reduces Hospital Admissions By Over 50% In Trial – Forbes

Clare Medical's AI-based diagnostic tool reduced the need for admissions and other interventions by ... [+] over 50% in clinical trials.

An artificial intelligence-based diagnostic tool has reduced hospital admissions by 51% among at-risk elderly patients, according to results of a trial released by health care provider Clare Medical.

Announcing the results of its trial on Wednesday, Clare Medical concluded that predicting which patients have a higher probability of experiencing medical "events" significantly reduces the probability of such events occurring. This is because its AI-based tool provides clinicians with the opportunity for early intervention.

The trial found that the use of AI-based diagnostics has significantly positive outcomes with respect to reducing a patient's risk of requiring a hospital visit within 30 days. At a time when the coronavirus pandemic is placing significant strain on the worlds health systems, such outcomes could end up saving substantial amounts of time and money for hospitals, not to mention the benefits for patients themselves.

"This diagnostic tool has the potential to be a paradigm shift in how we surveil and monitor patients. By providing an alert to physicians for high risk patients, we believe it provides a remarkable ability to intervene early and positively alter a patient's care trajectory," says Clare Medical CEO Ron Lipstein.

The study was conducted with predominantly elderly patients with at least one underlying medical condition. Compared to the general population, such patients are at high risk for a variety of clinically significant outcomes, including urinary tract infections, pneumonia, falls and fractures, the exacerbation of chronic obstructive pulmonary disease, worsening diabetes, and worsening chronic kidney disease.

However, by using its artificial intelligence-based toolwhich uses an algorithm to screen patients medical charts and dataClare Medicals team was able to identify 12.8% of the participating patients as being at a 30-day increased risk of requiring a hospital or emergency room visit. This resulted in physicians being notified and patient cases being reviewed and acted on. As a consequence, only 6.3% of patientsor 51% feweractually ended up requiring a hospital or ER visit.

Clare Medical estimates that a single hospital admission involving an elderly patient having several comorbidities costs more than $30,000.

At the same time, admission after the onset of a condition puts the patient themselves at greater risk. This risk is currently being heightened by the fact that the burdens of the coronavirus pandemic have made hospitals and health systems less able to screen patients in general.

For example, the UK Government estimated in July that declines in emergency care, adult social care, elective care and primary care could result in 10,000, 16,000, 12,500 and 1,400 excess deaths respectively over 12 months (the figure for elective care covers a five-year timeframe), assuming that Covid-19 care continues to impact medical treatment for other conditions.

This is the kind of problem that AI diagnostics could help ease. By reducing the time and resources needed to provide reliable indicators of likely health events and conditions, artificial intelligence-based tools could potentially make it easier for hospitals to confront Covid-19 while still continuing to screen patients for other diseases.

And reassuringly enough, Clare Medical is far from being the only company using AI to accelerate and improve diagnosis. In July, Israel-based medical data analytics startup Diagnostic Robotics signed a deal with the American medical centre Mayo Clinic, which will use its AI-based tools to speed up the process of diagnosing and triaging patients in hospitals and emergency rooms. Likewise, this year has produced its fair share of academic research indicating that AI algorithms are as "effective as radiologists" in screening for breast cancer, for instance.

The coronavirus pandemic has given hospitals extra impetus for involving artificial intelligence in the diagnostic process, while AI models have recently been developed for detecting asymptomatic carriers of Covid-19.

In other words, its highly unlikely that Clare Medical will be the last medical provider to trial and roll out the use of AI. Because with the coronavirus potentially staying with us for some years to come, and with the worlds population getting older, hospitals will have only more to do in the future, not less.

Continued here:

Artificial Intelligence Platform Reduces Hospital Admissions By Over 50% In Trial - Forbes

Global Artificial Intelligence of Things (Technology & Solutions) Markets 2020-2025: Market will Reach $65.9 Billion by 2025, Growing at 39.1%…

DUBLIN, Oct. 30, 2020 /PRNewswire/ -- The "Artificial Intelligence of Things: AIoT Market by Technology and Solutions 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.

This AIoT market report provides an analysis of technologies, leading companies and solutions. The report also provides quantitative analysis including market sizing and forecasts for AIoT infrastructure, services, and specific solutions for the period 2020 through 2025. The report also provides an assessment of the impact of 5G upon AIoT (and vice versa) as well as blockchain and specific solutions such as Data as a Service, Decisions as a Service, and the market for AIoT in smart cities.

Many industry verticals will be transformed through AI integration with enterprise, industrial, and consumer product and service ecosystems. It is destined to become an integral component of business operations including supply chains, sales and marketing processes, product and service delivery, and support models.

We see AIoT evolving to become more commonplace as a standard feature from big analytics companies in terms of digital transformation for the connected enterprise. This will be realized in infrastructure, software, and SaaS managed service offerings. More specifically, we see 2020 as a key year for IoT data-as-a-service offerings to become AI-enabled decisions-as-a-service-solutions, customized on a per industry and company basis. Certain data-driven verticals such as the utility and energy services industries will lead the way.

As IoT networks proliferate throughout every major industry vertical, there will be an increasingly large amount of unstructured machine data. The growing amount of human-oriented and machine-generated data will drive substantial opportunities for AI support of unstructured data analytics solutions. Data generated from IoT supported systems will become extremely valuable, both for internal corporate needs as well as for many customer-facing functions such as product life-cycle management.

The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks. Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic.

In many cases, the data itself, and actionable information will be the service. AIoT infrastructure and services will, therefore, be leveraged to achieve more efficient IoT operations, improve human-machine interactions, and enhance data management and analytics, creating a foundation for IoT Data as a Service (IoTDaaS) and AI-based Decisions as a Service.

The fastest-growing 5G AIoT applications involve private networks. Accordingly, the 5GNR market for private wireless in industrial automation will reach $4B by 2025. Some of the largest market opportunities will be AIoT market IoTDaaS solutions. We see machine learning in edge computing as the key to realizing the full potential of IoT analytics.

Select Report Findings:

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction2.1 Defining AIoT2.2 AI in IoT vs. AIoT2.3 Artificial General Intelligence2.4 IoT Network and Functional Structure2.5 Ambient Intelligence and Smart Lifestyles2.6 Economic and Social Impact2.7 Enterprise Adoption and Investment2.8 Market Drivers and Opportunities2.9 Market Restraints and Challenges2.10 AIoT Value Chain2.10.1 Device Manufacturers2.10.2 Equipment Manufacturers2.10.3 Platform Providers2.10.4 Software and Service Providers2.10.5 User Communities

3.0 AIoT Technology and Market3.1 AIoT Market3.1.1 Equipment and Component3.1.2 Cloud Equipment and Deployment3.1.3 3D Sensing Technology3.1.4 Software and Data Analytics3.1.5 AIoT Platforms3.1.6 Deployment and Services3.2 AIoT Sub-Markets3.2.1 Supporting Device and Connected Objects3.2.2 IoT Data as a Service3.2.3 AI Decisions as a Service3.2.4 APIs and Interoperability3.2.5 Smart Objects3.2.6 Smart City Considerations3.2.7 Industrial Transformation3.2.8 Cognitive Computing and Computer Vision3.2.9 Consumer Appliances3.2.10 Domain Specific Network Considerations3.2.11 3D Sensing Applications3.2.12 Predictive 3D Design3.3 AIoT Supporting Technologies3.3.1 Cognitive Computing3.3.2 Computer Vision3.3.3 Machine Learning Capabilities and APIs3.3.4 Neural Networks3.3.5 Context-Aware Processing3.4 AIoT Enabling Technologies and Solutions3.4.1 Edge Computing3.4.2 Blockchain Networks3.4.3 Cloud Technologies3.4.4 5G Technologies3.4.5 Digital Twin Technology and Solutions3.4.6 Smart Machines3.4.7 Cloud Robotics3.4.8 Predictive Analytics and Real-Time Processing3.4.9 Post Event Processing3.4.10 Haptic Technology

4.0 AIoT Applications Analysis4.1 Device Accessibility and Security4.2 Gesture Control and Facial Recognition4.3 Home Automation4.4 Wearable Device4.5 Fleet Management4.6 Intelligent Robots4.7 Augmented Reality Market4.8 Drone Traffic Monitoring4.9 Real-time Public Safety4.10 Yield Monitoring and Soil Monitoring Market4.11 HCM Operation

5.0 Analysis of Important AIoT Companies5.1 Sharp5.2 SAS5.3 DT425.4 Chania Tech Giants: Baidu, Alibaba, and Tencent5.4.1 Baidu5.4.2 Alibaba5.4.3 Tencent5.5 Xiaomi Technology5.6 NVidia5.7 Intel Corporation5.8 Qualcomm5.9 Innodisk5.10 Gopher Protocol5.11 Micron Technology5.12 ShiftPixy5.13 Uptake5.14 C3 IoT5.15 Alluvium5.16 Arundo Analytics5.17 Canvass Analytics5.18 Falkonry5.19 Interactor5.20 Google5.21 Cisco5.22 IBM Corp.5.23 Microsoft Corp.5.24 Apple Inc.5.25 Salesforce Inc.5.26 Infineon Technologies AG5.27 Amazon Inc.5.28 AB Electrolux5.29 ABB Ltd.5.30 AIBrian Inc.5.31 Analog Devices5.32 ARM Limited5.33 Atmel Corporation5.34 Ayla Networks Inc.5.35 Brighterion Inc.5.36 Buddy5.37 CloudMinds5.38 Cumulocity GmBH5.39 Cypress Semiconductor Corp5.40 Digital Reasoning Systems Inc.5.41 Echelon Corporation5.42 Enea AB5.43 Express Logic Inc.5.44 Facebook Inc.5.45 Fujitsu Ltd.5.46 Gemalto N.V.5.47 General Electric5.48 General Vision Inc.5.49 Graphcore5.50 H2O.ai5.51 Haier Group Corporation5.52 Helium Systems5.53 Hewlett Packard Enterprise5.54 Huawei Technologies5.55 Siemens AG5.56 SK Telecom5.57 SoftBank Robotics5.58 SpaceX5.59 SparkCognition5.60 STMicroelectronics5.61 Symantec Corporation5.62 Tellmeplus5.63 Tend.ai5.64 Tesla5.65 Texas Instruments5.66 Thethings.io5.67 Veros Systems5.68 Whirlpool Corporation5.69 Wind River Systems5.70 Juniper Networks5.71 Nokia Corporation5.72 Oracle Corporation5.73 PTC Corporation5.74 Losant IoT5.75 Robert Bosch GmbH5.76 Pepper5.77 Terminus5.78 Tuya Smart

6.0 AIoT Market Analysis and Forecasts 2020 - 20256.1 Global AIoT Market Outlook and Forecasts6.1.1 Aggregate AIoT Market 2020 - 20256.1.2 AIoT Market by Infrastructure and Services 2020 - 20256.1.3 AIoT Market by AI Technology 2020 - 20256.1.4 AIoT Market by Application 2020 - 20256.1.5 AIoT in Consumer, Enterprise, Industrial, and Government 2020 - 20256.1.6 AIoT Market in Cities, Suburbs, and Rural Areas 2020 - 20256.1.7 AIoT in Smart Cities 2020 - 20256.1.8 IoT Data as a Service Market 2020 - 20256.1.9 AI Decisions as a Service Market 2020 - 20256.1.10 Blockchain Support of AIoT 2020 - 20256.1.11 AIoT in 5G Networks 2020 - 20256.2 Regional AIoT Markets 2020 - 2025

7.0 Conclusions and Recommendations7.1 Advertisers and Media Companies7.2 Artificial Intelligence Providers7.3 Automotive Companies7.4 Broadband Infrastructure Providers7.5 Communication Service Providers7.6 Computing Companies7.7 Data Analytics Providers7.8 Immersive Technology (AR, VR, and MR) Providers7.9 Networking Equipment Providers7.10 Networking Security Providers7.11 Semiconductor Companies7.12 IoT Suppliers and Service Providers7.13 Software Providers7.14 Smart City System Integrators7.15 Automation System Providers7.16 Social Media Companies7.17 Workplace Solution Providers7.18 Enterprise and Government

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Global Artificial Intelligence of Things (Technology & Solutions) Markets 2020-2025: Market will Reach $65.9 Billion by 2025, Growing at 39.1%...

Amwell CMO: Google partnership will focus on AI, machine learning to expand into new markets – FierceHealthcare

Amwell is looking to evolve virtual care beyond just imitating in-person care.

To do that, the telehealth companyexpects to use its latestpartnership with Google Cloud toenable it to tap into artificial intelligence and machine learning technologies to create a better healthcare experience, according to Peter Antall, M.D., Amwell's chief medical officer.

"We have a shared vision to advance universal access to care thats cost-effective. We have a shared vision to expand beyond our borders to look at other markets. Ultimately, its a strategic technology collaboration that were most interested in," Antall said of the company's partnership with the tech giant during a STATvirtual event Tuesday.

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"What we bring to the table is that we can help provide applications for those technologiesthat will have meaningful effects on consumers and providers," he said.

The use of AI and machine learning can improve bot-based interactions or decision support for providers, he said. The two companies also want to explore the use of natural language processing and automated translation to provide more "value to clients and consumers," he said.

Joining a rush of healthcare technology IPOs in 2020, Amwell went public in August, raising$742 million. Google Cloud and Amwell also announced amultiyear strategic partnership aimed at expanding access to virtual care, accompanied by a$100 million investmentfrom Google.

During an HLTH virtual event earlier this month, Google Cloud director of healthcare solutions Aashima Gupta said cloud and artificial intelligence will "revolutionize telemedicine as we know it."

RELATED:Amwell files to go public with $100M boost from Google

"There's a collective realization in the industry that the future will not look like the past," said Gupta during the HTLH panel.

During the STAT event, Antall said Amwellis putting a big focus onvirtual primary care, which has become an area of interest for health plans and employers.

"It seems to be the next big frontier. Weve been working on it for three years, and were very excited. So much of healthcare is ongoing chronic conditions and so much of the healthcare spend is taking care ofchronic conditionsandtaking care of those conditions in the right care setting and not in the emergency department," he said.

The companyworks with 55 health plans, which support over 36,000 employers and collectively represent more than 80million covered lives, as well as 150 of the nations largest health systems. To date, Amwell says it has powered over 5.6million telehealth visits for its clients, including more than 2.9million in the six months ended June 30, 2020.

Amwell is interested in interacting with patients beyond telehealth visits through what Antall called "nudges" and synchronous communication to encouragecompliance with healthy behaviors, he said.

RELATED:Amwell CEOs on the telehealth boom and why it will 'democratize' healthcare

It's an area where Livongo, recently acquired by Amwell competitor Teladoc,has become the category leader by using digital health tools to help with chronic condition management.

"Were moving into similar areas, but doing it in a slightly different matter interms of how we address ongoing continuity of care and how we address certain disease states and overall wellness," Antallsaid, in reference to Livongo's capabilities.

The telehealth company also wants to expand into home healthcare through the integration of telehealth and remote care devices.

Virtual care companies have been actively pursuing deals to build out their service and product lines as the use of telehealth soars. To this end, Amwell recently deepened its relationship with remote device company Tyto Care. Through the partnership, the TytoHome handheld examination device that allows patients to exam their heart, lungs, skin, ears, abdomen, and throat at home, is nowpaired withAmwells telehealth platform.

Looking forward, there is the potential for patients to getlab testing, diagnostic testing, and virtual visits with physicians all at home, Antall said.

"I think were going to see a real revolution in terms ofhow much more we can do in the home going forward," he said.

RELATED:Amwell's stock jumps on speculation of potential UnitedHealth deal: media report

Amwell also is exploring the use of televisions in the home to interact with patients, he said.

"We've done work with some partners and we're working toward a future where, if it's easier for you to click your remote and initiate a telehealth visit that way, thats one option. In some populations, particularly the elderly, a TV could serve as a remote patient device where a doctor or nurse could proactively 'ring the doorbell' on the TV and askto check on the patient," Antall said.

"Its video technology that'salready there in most homes, you just need a camera to go with it and a little bit of software.Its one part of our strategy to be available for the whole spectrum of care and be able to interact in a variety of ways," he said.

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Amwell CMO: Google partnership will focus on AI, machine learning to expand into new markets - FierceHealthcare

The AI Company Helping the Pentagon Assess Disinfo Campaigns – WIRED

In September, Azerbaijan and Armenia renewed fighting over Nagorno-Karabakh, a disputed territory in the Caucasus mountains. By then, an information warfare campaign over the region had been underway for several months.

The campaign was identified using artificial intelligence technology being developed for US Special Operations Command (SOCOM), which oversees US special forces operations.

The AI system, from Primer, a company focused on the intelligence industry, identified key themes in the information campaign by analyzing thousands of public news sources. In practice, Primers system can analyze classified information too. The analysis, compiled for WIRED, shows how Russian news outlets began pushing a narrative in July designed to bolster its ally Armenia and undermine its enemy Azerbaijan.

Raymond Thomas, a retired general who previously led SOCOM and now sits on Primers board, says the Department of Defense faces a torrent of information as well misinformation. To keep pace, you're not going to do it with a bunch of people reading, he says. This has to be machine-enabled.

Primer said earlier this month it had won a multimillion dollar contract to develop a version of its technology for SOCOM as well as the US Air Force. The technology uses recent advances in natural language processing to identify people, places, and events in documents, and to string this information together to reveal trends.

The defense and intelligence industries need to analyze an avalanche of unclassified information such as social media along with classified reports, creating opportunities for companies like Primer, Splunk, Redhorse, and Strategic Analysis. This increasingly involves drawing insights from different forms of data such as voice recordings and images as well as text.

Primers investors include In-Q-Tel, the CIA-backed venture capital firm that also funded Palantir, which went public last month. Palantir started out offering tools for collecting and visualizing different types of information, such as cell phone records and internet traffic. It also now offers technology that uses AI to parse and organize text.

Recent leaps in machine understanding of language, enabled by feeding large machine-learning models huge amounts of text training data, could have a big impact on intelligence as well as business. Primer is focused on the intelligence industry, but it previously won a contract to supply its technology to Walmart, for identifying buying trends and supply chain issues.

What theyre doing is a tough technical challenge. Its impressive tech.

Chris Meserole, Brookings Institution

Primers analysis of the Russian information campaign offers a simple example of how AI can both help organize information and identify misinformation. The effort to portray Azerbaijan and Turkey as aggressors in Nagorno-Karabakh may have provided an early warning sign of escalating tensions, or an indicator of Russia trying to stir up trouble. The report boiled down 985 incidents from over 3,000 documents to 13 key events. A human analyst would have needed several hours to perform the analysis, but the Primer system did it in roughly 10 minutes. The technology works across several languages, including Russian and Chinese as well as English.

By mid-August, according to the report, the Russian outlets were publishing an increasing number of stories claiming that Turkey, an ally of Azerbaijan, was pouring troops into Armenia; other news sources made no mention of the build-up, suggesting it may have been part of a concerted information campaign. The ability to sort through all that information and misinformation, to enable decisionmaking, thats exceptionally critical, says Thomas, the retired general and Primer board member.

Martijn Rasser, senior fellow at the Center for New American Security and a former CIA intelligence analyst, says Primers technology shows how recent advances in AI could provide a military advantage. SOCOM needs to handle large amounts of intelligence information quickly, and it tends to be forward-thinking in its use of technology, he says. SOCOM declined to comment.

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The AI Company Helping the Pentagon Assess Disinfo Campaigns - WIRED