Select Page ::

Anyone who wrote off Sheffield United as a direct, functional team might want to watch the goal they scored at… – The Athletic

Posted on November 13, 2019 by Danzig

Dele Alli is far from alone in being surprised at just how well Sheffield United have adapted to life in the Premier League.

In recent weeks, a team that has taken four points off last seasons Europa League finalists and been unlucky not to bag the same from clashes with the two teams who competed in last seasons Champions League showpiece have become used to the plaudits.

For wing-back George Baldock, however, the words of praise from England international Alli in a post-match chat between the two former Milton Keynes Dons team-mates made an afternoon featuring his maiden top-flight goal feel even more special.

I played for a long time with Dele Alli and we had a brief chat afterwards, said the unlikely goalscoring hero for Chris Wilders side following their 1-1 draw with Tottenham Hotspur.

He congratulated us. He said hed watched us a few times this season on TV and been surprised at how well we...

Here is the original post:

Anyone who wrote off Sheffield United as a direct, functional team might want to watch the goal they scored at... - The Athletic

Calvin Harris shows off his jaw-dropping studio and reveals that he already has the new Mac Pro – MusicRadar

Posted on November 13, 2019 by Danzig

It seems that, if youre Calvin Harris, theres no piece of gear that you cant get your hands on - even Apples so-far-unreleased new Mac Pro.

Harris was was all over Instagram this weekend, posting a series of videos showcasing what we assume to be his amazing studio and revealing new music. One of these, which you can watch above, clearly features the newly-designed Mac Pro, which is listed on the Apple website as Coming in Autumn.

One would assume that Harris is one of a number of high-profile creatives whove got early access to the new machine. Its demanding professionals, after all, who represent Apples target market for the new super-computer.

Harriss Instagram splurge also confirms that hes an avid synth collector - check out the line-up of instruments in the video below - and that at least some of his new music has a distinctly acid housey vibe to it. You can hear a suitably squelchy bassline, and theres even a smiley face hanging on the wall.

As such, we wonder if Harris might soon be getting his hands on Behringers TD-3? As one of the biggest electronic music producers in the world, were sure he could swing a pre-release version of that as well...

Read the original here:

Calvin Harris shows off his jaw-dropping studio and reveals that he already has the new Mac Pro - MusicRadar

What TV Scandal Did NBC Forbid Quantum Leap to Feature on the Series? – CBR – Comic Book Resources

Posted on November 13, 2019 by Danzig

TV URBAN LEGEND: Quantum Leap was forbidden to do an episode about the TV quiz show scandals of the 1950s.

Quantum Leap was a critically acclaimed television drama that aired from 1989-1993 on NBC that starred Scott Bakula as Dr. Sam Beckett, a scientist who cracked the secret to time travel, but found himself leaping from year to year without control over where he would leap next (he would displace an actual person from the time period every time he leaped). The only thing he could do was hope that eventually he would leap back to his time period. He figured out that the way to trigger another leap was to fix something that had gone wrong in the life of the person he leaped into. He was aided on his quest by his colleague, Al, who used a super-computer to calculate the best bet for what Sam was meant to fix during each leap (as I recently noted in a tweet, Al sometimes had WAAAAAY too much information available to him about the lives involved in the leaps). Al appeared to Sam as a hologram that only he could see and hear.

The show addressed a number of controversial topics over the years, but there were a few topics that NBC ruled off limits for the series. Some of them were logistical issues, where the show just didn't have the budget to get a topic done right. Others, though, were just too sensitive for NBC and they forbade the show from doing episodes on the topic.

On the Quantum Leap podcast, David Campiti, the creator of Innovation Comics, who did licensed Quantum Leap comic books, explained that he was given the Series Bible when he got the license and saw that one of the things that the show could not touch was the quiz show scandal of the 1950s.

The quiz show scandal was when a number of popular game shows of the 1950s were revealed to have been rigging their results to get the most interesting winners, with the NBC series, Twenty-One, specifically rigging things for a popular contestant named Charles Van Doren....

This was a dark time for television and things got so bad that the government nearly stepped in and took over control of broadcast television outright, but luckily, things didn't go that route. However, game shows have been ruled by very strict rules ever since (which is why some competition reality shows like Big Brother make it clear that they are NOT game shows, so that they don't have to play by the strict game show rules established in the wake of the quiz show scandal).

Of course, since Campiti was not restricted by the rules of the television series, he quickly had a Quantum Leap episode be about the quiz show scandal..

Here's Sam leaping in...

and here, he learns why he is there...

The legend is...

STATUS: True

Thanks to my pal, Loren, for suggesting this one! And thanks to David Campiti and the Quantum Leap podcast for the information!

Be sure to check out my archive of TV Legends Revealed for more urban legends about the world of TV.

Feel free (heck, I implore you!) to write in with your suggestions for future installments! My e-mail address is bcronin@legendsrevealed.com.

EXCLUSIVE: Event Leviathan Reveals the Fallout of Damian Wayne's Revelation

Tags:TV Legends Revealed,Quantum Leap

Read the rest here:

What TV Scandal Did NBC Forbid Quantum Leap to Feature on the Series? - CBR - Comic Book Resources

13 Mind-Blowing Things Artificial Intelligence Can Already Do Today – Forbes

Posted on November 13, 2019 by Danzig

By now, most of us are aware of artificial intelligence (AI) being an increasingly present part of our everyday lives. But, many of us would be quite surprised to learn of some of the skills AI already knows how to do. Here are 13 mind-blowing skills artificial intelligence can already do today.

13 Mind-Blowing Things Artificial Intelligence Can Already Do Today

1. Read

Is one of your wishes to save time by only having to pay attention to the salient points of communication? Your wish has come true with artificial intelligence-powered SummarizeBot. Whether it's news articles, weblinks, books, emails, legal documents, audio and image files, and more, automatic text summarization by artificial intelligence and machine learning reads communication and reports back the essential information. Currently, SummarizeBot can be used in Facebook Messenger or Slack and relies on natural language processing, machine learning, artificial intelligence, and blockchain technologies.

2. Write

Would you believe that along with professional journalists, news organizations such as The New York Times, Washington Post, Reuters, and more rely on artificial intelligence to write? They do, and although this does include many "who, what, where, when, and how" formulaic pieces, AI is able to expand beyond this to more creative writing as well. Many marketers are turning to artificial intelligence to craft their social media posts. Even a novel has even been generated by artificial intelligence that was short-listed for an award.

3. See

Machine vision is when computers can see the world, analyze visual data, and make decisions about it. There are so many amazing ways machine vision is used today, including enabling self-driving cars, facial recognition for police work, payment portals, and more. In manufacturing, the ability for machines to see helps in predictive maintenance and product quality control.

4. Hear and understand

Did you know artificial intelligence is able to detect gunshots, analyze the sound, and then alert relevant agencies? This is one of the mind-blowing things AI can do when it hears and understands sounds. And who can refute the helpfulness of digital voice assistants to respond to your queries whether you want a weather report or your day's agenda? Business professionals love the convenience, efficiency, and accuracy provided by AI through automated meeting minutes.

5.Speak

Artificial intelligence can also speak. While its helpful (and fun) to have Alexa and Google Maps respond to your queries and give you directions, Google Duplex takes it one step further and uses AI to schedule appointments and complete tasks over the phone in very conversational language. It can respond accurately to the responses given by the humans its talking to as well.

6.Smell

There are artificial intelligence researchers who are currently developing AI models that will be able to detect illnessesjust by smelling a human's breath. It can detect chemicals called aldehydes that are associated with human illnesses and stress, including cancer, diabetes, brain injuries, and detecting the "woody, musky odor" emitted from Parkinson's disease even before any other symptoms are identified. Artificially intelligent bots could identify gas leaks or other caustic chemicals, as well. IBM is even using AI to develop new perfumes.

7.Touch

Using sensors and cameras, there's a robot that can identify "supermarket ripe" raspberries and even pick them and place them into a basket! Its creator says that it will eventually be able to pick one raspberry every 10 seconds for 20 hours a day! The next step for AI tactile development is to link touch with other senses.

8.Move

Artificial intelligence propels all kinds of movement from autonomous vehicles to drones to robots. The Alter 3 production at Tokyos New National Theatre features robots that can generate motion autonomously.

9.Understand emotions

Market research is being aided by AI tools that track a persons emotions as they watch videos. Artificial emotional intelligence can gather data from a person's facial expressions, body language, and more, analyze it against an emotion database to determine what emotion is likely being expressed, and then determine an action based on that info.

10. Play games

It's not all serious business with artificial intelligenceit can learn to play games such as chess, Go, and poker (which was an incredible feat)! And, turns out that AI can learn to play these games plus compete and even beat humans at them!

11. Debate

IBMs Project Debater showed us that artificial intelligence can even be successful at debating humans in complex subjects. Not only is it able to research a topic, but it can also create an engaging point of view and craft rebuttals against a human opponent.

12. Create

Artificial intelligence can even master creative processes, including making visual art, writing poetry, composing music, and taking photographs. Google's AI was even able to create its own AI childthat outperformed human-made counterparts.

13. Read your mind

This is truly mind-bogglingAI that can read your mind! It can interpret brain signals and then create speech. Impressive and life-changing for those with speech impairment, but a little bit unnerving when you consider the mind-reading aspect of the skill. It's no surprise that some of the biggest tech giants, including Facebook and Elon Musk have their own projects underway to capitalize on AI's mind-reading potential.

Now imagine if these 13 mind-blowing skills were all combined into one super artificial intelligence! Frightening or exhilarating? Thats up to you to decide, but I think we can all agree, it would be mind-blowing!

View original post here:

13 Mind-Blowing Things Artificial Intelligence Can Already Do Today - Forbes

Is Cloud AI a Fad? The Shortcomings of Cloud Artificial Intelligence – CTOvision

Posted on November 13, 2019 by Danzig

Read Christopher Tozzi explain the shortcomings of cloud artificial intelligence on IT Pro Portal :

Want to build artificial intelligence (AI) into your app, but dont want to have to collect your own data or train your own models? The cloud has a solution for you. Cloud-based AI services have emerged as one of the hottest service offerings from the major public clouds, which are eagerly inviting developers to make use of them. But while there are good reasons to use cloud AI in some cases, there are also some arguments to be made for avoiding it. In fact, there are so many reasons why AI in the cloud does not seem as beneficial as other types of cloud-based services that I sometimes suspect cloud AI will turn out to be a fad, or at least prove less popular than the cloud providers hope.

Read his full article here.

Link:

Is Cloud AI a Fad? The Shortcomings of Cloud Artificial Intelligence - CTOvision

AI Can Tell If You’re Going to Die Soon. We Just Don’t Know How It Knows. – Popular Mechanics

Posted on November 13, 2019 by Danzig

Albert Einsteins famous expression spooky action at a distance refers to quantum entanglement, a phenomenon seen on the most micro of scales. But machine learning seems to grow more mysterious and powerful every day, and scientists dont always understand how it works. The spookiest action yet is a new study of heart patients where a machine-learning algorithm decided who was most likely to die within a year based on echocardiogram (ECG) results, reported by New Scientist.

The algorithm performed better than the traditional measures used by cardiologists. The study was done by researchers in Pennsylvanias Geisinger regional healthcare group, a low-cost and not-for-profit provider.

Much of machine learning involves feeding complex data into computers that are better able to examine it really closely. To analogize to calculus, if human reasoning is a Riemann sum, machine learning may be the integral that results as the Riemann calculation approaches infinity. Human doctors do the best they can with what they have, but whatever the ECG algorithm is finding in the data, those studying the algorithm cant reverse engineer what it is.

The most surprising axis may be the number of people cardiologists believed were healthy based on normal ECG results: The AI accurately predicted risk of death even in people deemed by cardiologists to have a normal ECG, New Scientist reports.

To imitate the decision-making of individual cardiologists, the Geisinger team made a parallel algorithm out of the factors that cardiologists use to calculate risk in the accepted way. Its not practical to record the individual impressions of 400,000 real human doctors instead of the results of the algorithm, but that level of granularity could show that cardiologists are more able to predict poor outcomes than the algorithm indicates.

It could also show they perform worse than the algorithmwe just dont know. Head to head, having a better algorithm could add to doctors human skillset and lead to even better outcomes for at-risk patients.

Machine learning experts use a metric called area under the curve (AUC) to measure how well their algorithm can sort people into different groups. In this case, researchers programmed the algorithm to decide which people would survive and which would die within the year, and its success was measured in how many people it placed in the correct groups. This is why future action is so complicated: People can be misplaced in both directions, leading to false positives and false negatives that could impact treatment. The algorithm did show an improvement, scoring 85 percent versus the 65 to 80 percent success rate of the traditional calculus.

As in other studies, one flaw in this research is that the scientists used past data where the one-year window had finished. The data set is closed and scientists can directly compare their results to a certain outcome. Theres a differenceand in medicine its an ethical onebetween studying closed data and using a mysterious, unstudied mechanism to change how we treat patients today.

Medical research faces the same ethical hurdles across the board. What if intervening based on machine learning changes outcomes and saves lives? Is it ever right to treat one group of patients better than a control group that receives less effective care? These obstacles make a big difference in how future studies will pursue the results of this study. If the phenomenon of better prediction holds up, it may be decades before patients are treated differently.

AI Can Tell If You're Going to Die Soon. We Just Don't Know How It Knows. - Popular Mechanics

How can artificial intelligence improve the superyacht industry? – Superyacht News – The Superyacht Report

Posted on November 13, 2019 by Danzig

Artificial Intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. It is a behind-the-scenes technology that is increasingly being used in day-to-day life. From Siri and Alexa to autonomous vehicles, as well as more complex applications, AI isbeing used in nearly every industry, with customers often unaware of how the technology is helping to meet our ever-demanding expectations.

Many sectors within the superyacht industry are also investing in AI and looking at ways in which it can help design and build the next generation of yachts. Designer Justin Olesinski believes that the technology will play a progressively more important role in superyacht design his design studio has seen the benefits of AI first-hand within its hull development, allowing detailed concept hulls to be produced within a tenth of the time.

With projects becoming larger, more complicated, more expensive, more time consuming and with more options resulting in higher risk, the superyacht industry is a prime candidate to take advantage of the benefits that AI has to offer, explains Olesinski. We believe AI, combined with the experience of everyone involved, can not only help manage the current level of production, but actually allow the market to expand.

We believe AI, combined with the experience of everyone involved, can not only help manage the current level of production, but actually allow the market to expand.

He continues, How many customers are put off with long design development and build timescales, biased opinions and complicated route to owning a superyacht? Intelligently designing AI with the client, not ourselves, in mind, will make buying and owning a superyacht easier. The running, insuring and managing of the yacht in service may be optimised too with AI.

An interactive discussion on the application of AI and Machine Learning (ML) will take place during day two of The Superyacht Forum. Olesinski will be joined by Mike Blake, president of Palladium Technologies, Joseph Adir, founder and CEO of WinterHaven, and Bill Edwards, head of research and development at Olesinski, to share their experiences and discuss how AI can optimise the way superyachts are designed, built and operated.

We will explain how it has helped us, the customer and where we are heading, adds Olesinski. We will also show how diverse AI and ML is by explaining how it can be used in developing corals that are more resistant to warmer sea temperature, increasing salinity and other factors, which may help rejuvenate the Great Barrier Reef. Expect to be surprised, enlightened, intrigued and inspired to question how AI can work for your own business.

Remaining tickets toThe Superyacht Forum 2019are availablehere. Join us from 18-20 November in Amsterdam and enjoy three days of engaging workshops and thought-provoking keynotes,whileinteracting with leading minds from our market to learn about the subjects that you and your clients need to know.

Profile links

Olesinski Limited

If you like reading our Editors' premium quality journalism on SuperyachtNews.com, you'll love their amazing and insightful opinions and comments in The Superyacht Report. If youve never read it, click here to request a sample copy - it's 'A Report Worth Reading'. If you know how good it is, click here to subscribe - it's 'A Report Worth Paying For'.

Link:

How can artificial intelligence improve the superyacht industry? - Superyacht News - The Superyacht Report

Artificial Intelligence Is Too Important to Leave to Google and Facebook Alone – The New York Times

Posted on November 13, 2019 by Danzig

Americans dont have to be beholden to the tech Goliaths to get the benefits of artificial intelligence. An alternative possibility is for government to provide the infrastructure needed for a technological future through a public option for artificial intelligence.

Big tech companies have an extraordinary amount of data about how we behave, largely because they engage in widespread surveillance of much of our behavior. Because A.I. depends on data, these companies have a huge market advantage over start-ups and entrepreneurs and its a gap that will only get wider. The lax regulatory environment hasnt helped, either; instead, it has allowed the biggest tech companies to acquire their rivals, stifle competition and snatch up the best software engineers and data scientists. Together, these dynamics make it hard for start-ups, governments and nonprofits to develop and use artificial intelligence without relying on big tech companies, effectively ceding influence over this developing field to a private sphere distorted by anti-competitive practices.

The alternative is a public option for A.I. The public option, a term familiar from debates over health care, is a public program that provides universal access to goods and services, with a private opt-out. A public option for A.I. wouldnt prevent companies like Google from collecting and using data. But it would provide a pathway for start-ups and public-sector organizations to develop abilities and products that would compete with those of the tech giants. Although the Trump administration released an executive order on A.I. this year, we believe that a broader conceptual framework for the public option for A.I. coupled with significant financial resources from Congress is an opportunity for all levels of government to take control of technology for their constituents and engage them deeply in the development of the rules by which it is governed and used.

Our proposal has three components: The first is a public data pool that would make data accessible to registered users. Local, state and federal governments have sizable data resources that would seed this digital commons. Users would be verified to block foreign governments, hackers and others with ill motives from access, and users would be prevented from using the data to engage in racial or other forms of discrimination and for microtargeted advertising.

Some of the data may be very sensitive, and access to those resources would be highly regulated. We can imagine a variety of ways that regulation and technology together could protect privacy and still foster innovation: Data could be anonymized at the source; the commons could have an interface that allowed users to derive insight from the data set, while leaving the underlying information inaccessible; less sensitive data, like weather information, could be made available in a format optimized for training A.I. Whats more, methods for safely sharing A.I. models without disclosing the underlying data are being developed today and could enable users of the data commons to collaborate on public-interest A.I. services. The federal government should also invest in researching new and better ways to protect privacy and prevent misuse.

Second, a public option for artificial intelligence would include a significant increase in research and development spending. Proponents of big tech celebrate private-sector research and are right to do so. But big tech companies, like all companies, have an incentive to fund research that will support their bottom line, and the profit motive doesnt always mean a focus on the most important problems.

For generations, government R&D spending has been one of the central engines of economic growth and technological progress in America. Yet China is projected to spend far more than the United States on A.I. research over the next decade. A sizable increase in research funding for companies, governments and nonprofits developing public-interest technologies would help expand the types of research taking place and give scientists and engineers the option to do groundbreaking work on a broader range of problems.

Third, much of governments A.I. work takes place in the military sector and is applied to national security problems. But health care, transportation, energy and other areas could also benefit significantly from A.I. The federal government should expand its A.I. procurement across all of these sectors as an opportunity to improve public services for all Americans. In addition, the government should ensure that its use of algorithms meets the highest ethical standards.

A public option for A.I. cant solve every problem related to technology and surveillance, and it would require careful thinking about public governance of these programs including a commitment to privacy and awareness of biases. But it would help address the problem of a small number of companies having virtually all power over this technology. It would facilitate the conditions for a competitive market with many players and many new innovations, all while preserving our democratic values and improving our society.

Ben Gansky (@bengansky) is executive director of Free Machine and a researcher and designer at the Institute for the Futures Equitable Futures Lab. Michael Martin is policy director for Free Machine and head of communities at SignalFire. Ganesh Sitaraman (@ganeshsitaraman), a professor of law at Vanderbilt Law School, is a co-author of The Public Option: How to Expand Freedom, Increase Opportunity, and Promote Equality.

Follow @privacyproject on Twitter and The New York Times Opinion Section on Facebook and Instagram.

Visit link:

Artificial Intelligence Is Too Important to Leave to Google and Facebook Alone - The New York Times

The Army Is Bringing Artificial Intelligence To Its Armored Vehicles – The National Interest Online

Posted on November 13, 2019 by Danzig

(Washington, D.C.) Streamlining multiple targeting sensors to destroy long-range targets, arming forward- positioned robots to penetrate enemy defenses and receiving organized weather-specific terrain mapping from nearby drones - are all emerging combat dynamics increasingly made possible by AI-enabled weapons and technologies.

New applications of AI are consolidating data from otherwise disparate sensor systems, analyzing seemingly limitless amounts of targeting data in seconds and instantly sifting through hours of drone video to massively improve attack options and shorten sensor-to-shooter time.

We are developing an AI stack regarding how we pull together the sensors, computing layer and analytics to manage the data, Col. Doug Matty, Army AI Task Force Deputy Director, told Warrior in an interview.

New algorithms, AI-enabled computer processing and high-speed networking are all specific elements of work now underway with the Armys AI Task Force, an emerging Army effort to collaborate with industry and academia, find technology breakthroughs and develop new applications for AI, Matty explained. The Task Force is now working on prototyping systems for integration onto UH-60 Black Hawk helicopters, Long-Range Precision Fires systems and the Armys emerging fleet of Next-Gen Combat Vehicles, he said.

We are focusing on the Next Gen Combat Vehicle. As you know they are progressing with two different platforms - the optionally-manned vehicle and the robotic combat vehicle. How do we have AI-aided threat recognition? We have to be aware of how robotic and manned vehicles share information to conduct operations, Matty explained.

The first prototype AI-focused integrated threat recognition sensor will be ready by January of next year, Matty said.

The Army Vice Chief of Staff Gen. Joseph Martin told Warrior about some of the prototyping now being done for the Next Generation Combat Vehicle; he said the service is looking at firepower, metallurgical breakthroughs and other emerging systems.

"Weve got a great team there.(on NGCV) Theyre looking at the requirements, theyre starting to work to prototype equipment in the future, and thats going to allow us to arrive at the appropriate solution, just like we did with the Abrams tank back in the mid 70s," Martin said in an interview with Warrior.

"Were looking at new mobile firepower capabilities, were looking at leveraging the technology thats available in the metallurgical development field so that we can have the lightest vehicle possible, but also the most survival vehicle as possible," he added.

The Armys fast-moving AI-task force, based in Pittsburgh at Carnegie Mellon Universitys National Robotics Engineering Center, was first established by the Secretary of the Army in October of 2018.

As part of a dual-pronged strategy to both rapidly advance technology and analyze its impact upon strategy, doctrine and combat tactics, the AI TF is working closely with Army Futures Command and its Cross Functional Teams.

We are working through an initial set of mission analysis with the CFT. We are now aligning these efforts with research opportunities, Matty said.

Army Vice Martin offered some additional detail regarding some of this research.

An interesting 2017 essay from the Hague Centre for International Studies offers some significance context regarding the anticipated operational impact of AI.

AI systems could provide probabilistic forecasts of enemy behavior, anticipate and flag bottlenecks or vulnerabilities in supply lines before they occur, and suggest mitigation strategies; draw on data (e.g. weather conditions collected by drones), to examine factors affecting operations and assess the viability of different mission approaches, the essay, called Artificial Intelligence and the Future of Defense, states.

Matty and his team are now refining potential applications of new algorithms being uncovered through the Armys current collaboration with scientists and engineers at Carnegie Mellon -- to help bring the vision outlined by the essay to life. There are a number of efforts showing early promise, Matty explained.

Some of these include sensor consolidation, an effort which not only reduces the hardware footprint created by building sensors into armored vehicles but also increases long-range sensor fidelity and organizes otherwise separate pools of data. This, among other things, can introduce new attack options, Matty explained.

We are working on sensor consolidation. For fire control there are a number of processes that are conducted in advance of finding the entities that you want to generate effects on. How do we leverage enhanced capabilities based on longer-range types of systems and overhead commercial imagery or UAS so we can rapidly perform PED (Processing, Exploitation, Dissemination)? he said.

Here Matty seems to be referring to how AI-aided algorithms can now immediately sift through drone-video feeds, instantly finding and disseminating intelligence of pressing combat relevance. This kind of information synergy described by Matty is also reinforced by the Hague Centre for International Studies essay, which states that new adaptations of AI technologies can perform analysis of reports, documents, newsfeeds and other forms of unstructured information.

Perhaps of greatest relevance, the essay explains how these AI-enhanced functions can forecast enemy behavior, anticipate maneuver challenges and find vulnerabilities in supply lines.

AI is also changing the readiness equation, Matty explained, by virtue of accelerating condition-based maintenance on board certain large platforms such as Strykers and Black Hawk helicopters.

We are working to refine the analytics and machine learning to not only increase the specificity but also improve the time horizon to predict when maintenance needs will occur. We can get to the granular level of specificity, not just for the fleet but eventually for tail numbers, Matty said.

The Army has been working on conditioned-based maintenance for many years now, an effort which includes engineering and integrating key data-collection sensors onto large platforms. These sensors can, among other things, monitor system health, engine rotations and other essential combat functions in real time - at times even wirelessly - to help commanders anticipate when a given system may malfunction. In recent years, the Army completed a proof of principle exercise using AI-enabled wireless technology to download and organize maintenance data from sensors on board Stryker vehicles. Collaborating with IBM, the Army was able to draw upon IBMs Watson computer to perform analytics in real time to produce indispensable maintenance information in seconds. The Armys AI Task Force is now working on this on Black Hawk helicopters.

How can information be analyzed to understand maintenance status? This includes developing new algorithms and interfaces for maintenance and mechanics to address supply chain and logistics challenges and take advantage of recently-available data assets, Matty said.

Automation and AI, which are of course progressing at near lightning speed these days, are often described in terms of easing the cognitive burden, meaning they can quickly perform analytics and a range of procedural functions to present to a human operating in a command control capacity.

Working on the cutting edge regarding both the promise and limitations of AI, the Armys Task Force is currently grounded in a doctrinal emphasis upon having a human in the loop. Essentially, AI and advanced computer processing speed are well suited to exponentially improve procedural functions, the organization of sensor data and other pressing computational operations -- yet Matty emphasized the importance of having humans in a role of command and control in order to make complex decisions, reason and best leverage the benefits of AI.

For instance, there are many combat variables which are often a complex byproduct of a range of more subjectively determined variables impacted by concepts, personalities, individual psychology, historical nuances and larger sociological phenomena. This naturally raises the question as to how much even the most advanced computer programs could account for these and other somewhat less tangible factors.

Advanced computer algorithms can analyze data and quickly perform procedural functions far more quickly than human cognition yet there are nonetheless still many things which are known to be unique to human cognition. Humans solve problems, interpret emotions and at times respond to certain variables in a way that the best computer technology cannot.

This concept, broadly speaking, is mirrored in an interesting 2017 essay from the Chatham House, Royal Institute of International Affairs called Artificial Intelligence and the Future of War. (M.L.Cummings). The essay explains how typical algorithms cannot necessarily generalize but rather only consider quantifiable variables.

Replicating the intangible concept of intuition, knowledge-based reasoning and true expertise is, for now, beyond the realm of computers, the essay states.

.AI is advancing, but given the current struggle to imbue computers with true knowledge and expert-based behaviours, as well as limitations in perception sensors, it will be many years before AI will be able to approximate human intelligence in high-uncertainty settings as epitomized by the fog of war.. The Chatham House essay states.

Osborn previously served at the Pentagon as a Highly Qualified Expert with the Office of the Assistant Secretary of the Army - Acquisition, Logistics& Technology. Osborn has also worked as an anchor and on-air military specialist at national TV networks. He has appeared as a guest military expert on Fox News, MSNBC, The Military Channel and The History Channel. He also has a Masters Degree in Comparative Literature from Columbia University.

See the original post here:

The Army Is Bringing Artificial Intelligence To Its Armored Vehicles - The National Interest Online

Artificial intelligence to run the chemical factories of the future | Illinois – University of Illinois News Bureau

Posted on November 13, 2019 by Danzig

CHAMPAIGN, Ill. A new proof-of-concept study details how an automated system driven by artificial intelligence can design, build, test and learn complex biochemical pathways to efficiently produce lycopene, a red pigment found in tomatoes and commonly used as a food coloring, opening the door to a wide range of biosynthetic applications, researchers report.

The results of the study, which combined a fully automated robotic platform called the Illinois Biological Foundry for Advanced Biomanufacturing with AI to achieve biomanufacturing, are published in the journal Nature Communications.

Biofoundries are factories that mimic the foundries that build semiconductors, but are designed for biological systems instead of electrical systems, said Huimin Zhao, a University of Illinois chemical and biomolecular engineering professor who led the research.

However, because biology offers many pathways to chemical production, the researchers assert that a system driven by AI and capable of choosing from thousands of experimental iterations is required for true automation.

Previous biofoundry efforts have produced a wide variety of products such as chemicals, fuels, and engineered cells and proteins, the researchers said, but those studies were not performed in a fully automated manner.

Past studies in biofoundry development mainly focused on only one of the design, build, test and learn elements, Zhao said. A researcher was still required to perform data analysis and to plan for the next experiment. Our system, dubbed BioAutomata, closes the design, build, test and learn loop and leaves humans out of the process.

BioAutomata completed two rounds of fully automated construction and optimization of the lycopene-production pathway, which includes the design and construction of the lycopene pathways, transfer of the DNA-encoding pathways into host cells, growth of the cells, and extraction and measurement of the lycopene production.

BioAutomata was able to reduce the number of possible lycopene-production pathways constructed from over 10,000 down to about 100 and create an optimized quantity of lycopene-overproducing cells within weeks greatly reducing time and cost, Zhao said.

Zhao envisions fully automated biofoundries being a future revolution in smart manufacturing, not unlike what automation did for the automobile industry.

A hundred years ago, people built cars by hand, he said. Now, that process is much more economical and efficient thanks to automation, and we imagine the same for biomanufacturing of chemicals and materials.

Zhao also is affiliated with the departments of chemistry, biochemistry and bioengineering, and is a theme leader at the Carl R. Woese Institute for Genomic Biology and at the Center for Advanced Bioenergy and Bioproducts Innovation at the U. of I.

The U.S. Department of Energys Center for Advanced Bioenergy and Bioproducts Innovation and the IGB supported this research.

See more here:

Artificial intelligence to run the chemical factories of the future | Illinois - University of Illinois News Bureau

Artificial intelligence to pave way for new professions – Daily Sabah

Posted on November 13, 2019 by Danzig

Digitalization and breakthroughs in artificial intelligence (AI) will lead to the emergence of new professions according to experts.

It has been predicted that "smart home designers," "digital tailors," "digital therapists," "robo-psychologists," and "troll detectors" will be a few of the most desirable professions for the future generation.

Associate professor ebnem zdemir of stinye University said that AI has been the focus of advanced technology but its effects on professions are now more than ever.

"Data is now the most important thing. Hence, the professions which have nothing to do with data are doomed in the future. It is possible to say that the future is about professions supported by AI," added zdemir.

zdemir also claimed that future employers will expect their employees to work hand-in-hand with robots as well.

"People will be expected to team up with robots. In order to organize the teamwork, a new profession called 'human-robot team management' will come to being," said zdemir.

According to experts, a total of at least 143 new professions will develop in the future. Each of these new professions will require a special set of skills to manage the coordination between humans and AI.

See the article here:

Artificial intelligence to pave way for new professions - Daily Sabah

AI and automation will disrupt our world but only Andrew Yang is warning about it | TheHill – The Hill

Posted on November 13, 2019 by Danzig

Disruption of the job market and the economy from automation and the rise of artificial intelligence (AI) is one of the primary ideas animating Andrew YangAndrew YangOutsider candidates outpoll insider candidates Is Andrew Yang's pivot working? New Quinnipiac poll finds Biden leading in New Hampshire MOREs surprising campaign for the Democratic presidential nomination. Alone among the candidates, Yang is directly engaging with one of the central forces that will shape our futures.

Over the past ten years, I have written two books on the subject of artificial intelligence and its impact on the job market and the economy. Ive spoken at dozens of events in more than 30 countries. The majority of my presentations were given to what you might call elite audiences executives, technologists, Wall Street financiers, economists, government technocrats and so forth. Ive found that, virtually without exception, these people take the specter of technological disruption seriously.

To be sure, not everyone buys into the possibility of widespread unemployment resulting from automation. But even the most skeptical generally recognize that the speed at which AI is advancing could create a stark divide, with a large and growing fraction of our workforce left struggling to maintain a foothold in the economy.

Arecent report from the consulting firm Deloittefound that, among more than a thousand surveyed American executives, 63 percent agreed with the statement that to cut costs, my company wants to automate as many jobs as possible using AI, and 36 percent already believe that job losses from AI-enabled automation should be viewed as an ethical issue. In other words, while media pundits dismiss worries about automation, executives at Americas largest companies are actively planning for it.

It may seem odd to worry about AI and automation at a time when the headline unemployment rate is below 4 percent.But it is important to remember that this metric only captures people who are actively seeking work. Consider that, in 1965,only 3 percentof American men between the ages of 25 and 54 old enough to have completed education but too young to retire were neither working nor actively looking for employment. Today, that number is about 11 percent.

In other words, the percentage of working-age men completely disenfranchised from employment markets has nearly tripled.The economist and former Treasury secretary Laurence Summershas estimatedthat, by 2050, that number could more than double again to a quarter or even a third.

Would it be unreasonable to imagine that an economist in 1965 might have uttered the words mass unemployment if he or she had been told that the percentage of men detached from the workforce would soar in this way?To be sure, technology is not the only factor here but it is almost certainly playing a central role.

Disruption from artificial intelligence will not be a straightforward narrative of robots stealing jobs. Instead, it will include job de-skilling, in which technology makes what was once well-paid work accessible to minimum-wage or gig-economy workers with little or no training.The story so far has largely been about the elimination of solid middle-class jobs requiring moderate skill levels and the emergence of lower-paying jobs in the service sector. Indeed, the economys propensity to create large numbers of low-wage service jobs has been one of the main factors that has led to the current low levels of unemployment.

However, it is very unlikely that these jobs will continue to be created at the current pace.

The robots that already play a vital role in Amazon warehouses will soon become more dexterous and able to perform many of the tasks that now require people. Automation will inevitably invade the fast-food industry, and traditional retailers will have little choice but to turn to labor-saving technology in order to remain viable in a sector increasingly dominated by Amazon.

Nor will more educated white-collar workers get a pass on the AI disruption.Jobs that involve relatively predictable manipulation of information routine quantitative analysis, preparing periodic reports and so forth will, in many cases, be easier to automate than lower-paid work that requires physical interaction.

All this is sure to unfold in an unpredictable, sporadic way. Rather than a robot or an algorithm directly replacing a worker, we are likely to see organizations completely restructure work environments and redefine job descriptions, as more and more of the tasks now performed by people are automated.The result, in most cases, will be fewer jobs and, often, those jobs will be held by different workers with completely different skill sets and talents, and perhaps in different geographic locations.

The Democratic Partys agenda increasingly is being shaped by the Social Justice Left. If you count yourself among this movement, you should know that AI-driven automation is not a fringe issue, nor can it be dismissed as a tech bro concern.Rather, it is poised to amplify the types of inequality that you care most about. Arecent analysis from McKinsey, for example, found that automation will disproportionately impact African Americans, likely worsening the racial income and wealth gaps.The fact is that virtually everything Democrats care about inequality, health care, poverty, the environment, education, the prosperity of the middle class will be deeply influenced by relentless advances in artificial intelligence.

And yet, inexplicably, Andrew Yang is currently the only presidential candidate willing to speak honestly about the magnitude of the coming challenge and to propose solutions.

Perhaps that is why his candidacy has taken the political sphere by surprise. For a candidate who started literally at zero, with no political experience and, perhaps more importantly, no name recognition, he has gained remarkable traction and left some professional politicians including governors and U.S. senators in the dust in terms of polling, fundraising and qualifying for the partys debates. It demonstrates how his concerns about the future resonate with many voters even as much of the media hasconsistently marginalized, ignored or dismissed his campaign as unserious and, in a number of cases,quite literally erasedorskipped over it.

Like all new technologies, AI will be a dual-edged sword: It will bring new dangers, along with vast new opportunities.Ensuring that those opportunities are maximized and leveraged in an inclusive way, on behalf of everyone at every level of society, looms as one of the most vital and daunting challenges we will face in the coming years and decades.

Andrew Yang, and his warnings about the impact of AI and automation, should be taken seriously.

Martin Ford is a futurist and the author of three books, including theNew York TimesbestsellingRise of the Robots: Technology and the Threat of a Jobless Future(2015)andArchitects of Intelligence: The truth about AI from the people building it. (2018) He is the consulting artificial intelligence expert for the newRobotics and AIETFfrom Lyxor/Societe Generale, which focuses on investing in companies that will be significant participants in the AI and robotics revolution. Follow him on Twitter@MfordFuture.

"Artificial intelligence is not the future – it is happening right now" – Journalism.co.uk

Posted on November 13, 2019 by Danzig

As artificial intelligence (AI) becomes more commonplace in newsrooms, Cardiff University will be introducing the technology into its syllabus to produce 'industry-ready journalists'.

From February 2020, students on the MA International Journalism course will learn a new 'emerging journalism' module where students will use AI-powered tools to identify and report on a breaking news story, as this is becoming standard practice in local newsrooms, like Reach plc.

As well as these practical skills, the module also offers the theory of using this technology for problem-solving.

Former associate editor of Mirror.co.uk, Gavin Allen, now digital journalism lecturer, Cardiff Universitys School of Journalism, is one of the tutors the course. He stressed that aspiring journalists need to come to terms with AI, or risk being left behind by its advancements.

"There's a feeling that we need to stand back and see that this technology is proven," said Allen.

"But this technology advances so rapidly that we need to start adapting now."

"There are traditional print journalists who think 'That's not for me, I don't need to think about AI', but it is becoming widely used at publications. AI is not the future - it is happening right now."

But there is a limit to what journalists need to know. The university will bring in experts from business and computational science departments to help with the more finite solutions, such as hardcore coding.

Journalists today require a working-level proficiency in user-friendly programmes like Dataminr. When it comes to post-graduate job-seeking, this prepares them for life in a digital newsroom and provides insight into how the technology works.

AI does not stop at sifting through large datasets and mass-publishing stories. It can also be used to make repetitive tasks - like subtitling and transcription - possible in a matter of clicks and in a fraction of the time.

"If a student is able to talk about AI in a job interview which is relevant to a newsroom or organisation, it puts them ahead of a student who cant," said Allen.

"We need to be aiming to 'future proof' our students by looking at programmes already in use while teaching them critical thinking skills so they can fit those new roles rather than just filling the role of reporter."

Of course, there are significant challenges to learning and integrating this technology in a newsroom's workflow.

For one, programmes like Dataminr are costly, although the university uses the free version of Chartbeat. The big risk, however, is the temptation to become over-reliant on AI.

"Teaching students to use AI within newsrooms includes establishing the balance," Allen said.

"It may allow faster work process and thats something the industry demands, but there needs to be an understanding that algorithms can get it wrong and human oversight and interpretation are always going to be required for good journalism."

Correction: The previous version of this article said that the module was set to start in September 2020. Gavin Allen's previous job title and other details about the course have also been updated.

Gavin Allen features on a panel about using artificial intelligence to cover breaking news at Newsrewired on 27 November at Reuters, London. Head to newsrewired.com for the full agenda and tickets

If you like our news and feature articles, you can sign up to receive our free daily (Mon-Fri) email newsletter (mobile friendly).

The rest is here:

"Artificial intelligence is not the future - it is happening right now" - Journalism.co.uk

Artificial intelligence (AI): what you need to know about the megatrend – Finance Market News

Posted on November 13, 2019 by Danzig

Dear Investors,

today we are already surrounded by applications of artificial intelligence (AI) practically on a daily basis. These applications are particularly widespread on the Internet. Intelligent or smart software decides which advertising we see on the Internet. The language assistants Alexa (Amazon) and Siri (Apple) are already artificially intelligent and can imitate human behaviour. Meanwhile, these devices can even imitate limited expressions of human emotion such as sympathy or disappointment.

This is the definition: AI enables different software to imitate human thinking and behavior. In addition, smart software recognizes recurring patterns and learns from them (machine learning). Of course, AI is of particular importance for the automotive industry. The self-propelled vehicle or robot car replaces the human driver with its own control system. The requirements here are extreme. Especially when the controller has to decide in fractions of a second in a borderline situation. The market for AI applications is therefore very complex and currently still quite confusing. As a result, almost all sizes of the Internet and software industry are present in this market segment.

See original here:

Artificial intelligence (AI): what you need to know about the megatrend - Finance Market News

Artificial Intelligence sales platform, Enerjoy, Launches its series A fundraising round at an event held in SAP Next Gen HQ in NYC – PRNewswire

Posted on November 13, 2019 by Danzig

NEW YORK, Nov. 12, 2019 /PRNewswire/ --Enerjoy, an artificial intelligence platform that uses personalized gamification to increase sales teams' motivation and performance, announced the launch of its series A fundraising round, as part of a remarkable event held by Strtupboost and SAP Next Gen at the latter's headquarters in New York city. Enerjoy's scientifically based solution was proven to increase sales reps performance by an average of 25%, catering leading clients as banks, insurance, travel and telecom companies in Europe and South America.

Gabby Hasson, Managing Partner at Bseed who's mother company Besadno VC invested in enerjoy last June says; "as a venture capital firm that sees hundreds of startups each year, we always look for smart technologies that can make a real impact on different industries while presenting significant scale potential. enerjoy is definitely one of those startups." Besadno joins enerjoy's former investors' list: Nielsen Innovate, Samurai-Incubate and Israeli Innovation Authority.

Enerjoy takes pride in its customers as Orange telecom and Tatra Bank in Slovakia, Coca Cola in Israel, Fattal hotel reservation centers and other media, insurance and technology companies in different countries.

The company developed a personal motivational profile algorithm based on research it has conducted with its organizational and behavioural scientists, along with other studies such as Harvard motivational model. Their conclusions were then translated into an artificial intelligence platform that uses gamification to motivate each rep individually. The platform increases each reps' sales rates and responds to changes in real time. In addition, it serves as a support tool for the teams' manager, sending relevant notifications about reps progress.

Viki Glam, enerjoy's CEO and Co-Founder noted: "We have spent a lot of time and resources to validate our motivational algorithm and to prove it can bring results to serious clients in different industries and different cultures. Now, more than ever, we are ready to raise funds in the USA and enter this exciting market!"

The event at SAP headquarters attracted about 75 New York angel investors, VC's along with seniors from SAP Next Gen.

For more information about enerjoy please contact us at: dror@enerjoy.co

SOURCE Enerjoy

http://www.enerjoy.co

Follow this link:

Artificial Intelligence sales platform, Enerjoy, Launches its series A fundraising round at an event held in SAP Next Gen HQ in NYC - PRNewswire

AI deemed ‘too dangerous to release’ makes it out into the world – The Independent

Posted on November 13, 2019 by Danzig

An AI that was deemed too dangerous to be released has now been released into the world.

Researchers had feared that the model, known as "GPT-2", was so powerful that it could be maliciously misused by everyone from politicians to scammers.

GPT-2 was created for a simple purpose: it can be fed a piece of text, and is able to predict the words that will come next. By doing so, it is able to create long strings of writingthat are largely indistinguishable from those written by a human being.

Sharing the full story, not just the headlines

But it became clear that it was worryingly good at that job, with its text creation so powerful that it could be used to scam people and may undermine trust in the things we read.

What's more, the model can be abused by extremist groups to create "synthetic propaganda" that would allow them to automatically generate long text promoting white supremacy or jihadist Islamis, for instance.

Google celebrates its 21st birthday on September 27. The The search engine was founded in September 1998 by two PhD students, Larry Page and Sergey Brin, in their dormitories at Californias Stanford University. Page and Brin chose the name google as it recalled the mathematic term 'googol', meaning 10 raised to the power of 100

Google

Russia has launched a humanoid robot into space on a rocket bound for the International Space Station (ISS). The robot Fedor will spend 10 days aboard the ISS practising skills such as using tools to fix issues onboard. Russia's deputy prime minister Dmitry Rogozin has previously shared videos of Fedor handling and shooting guns at a firing range with deadly accuracy.

Dmitry Rogozin/Twitter

Chief engineer of LIFT aircraft Balazs Kerulo demonstrates the company's "Hexa" personal drone craft in Lago Vista, Texas on June 3 2019

Reuters

Microsoft announced Project Scarlett, the successor to the Xbox One, at E3 2019. The company said that the new console will be 4 times as powerful as the Xbox One and is slated for a release date of Christmas 2020

Getty

Apple has announced the new iPod Touch, the first new iPod in four years. The device will have the option of adding more storage, up to 256GB

Apple

Samsung will cancel orders of its Galaxy Fold phone at the end of May if the phone is not then ready for sale. The $2000 folding phone has been found to break easily with review copies being recalled after backlash

Apple has cancelled its AirPower wireless charging mat, which was slated as a way to charge numerous apple products at once

AFP/Getty

India has claimed status as part of a "super league" of nations after shooting down a live satellite in a test of new missile technology

EPA

5G wireless internet is expected to launch in 2019, with the potential to reach speeds of 50mb/s

Getty

Uber has halted testing of driverless vehicles after a woman was killed by one of their cars in Tempe, Arizona. March 19 2018

Getty

A humanoid robot gestures during a demo at a stall in the Indian Machine Tools Expo, IMTEX/Tooltech 2017 held in Bangalore

Getty

A humanoid robot gestures during a demo at a stall in the Indian Machine Tools Expo, IMTEX/Tooltech 2017 held in Bangalore

Getty

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty

The giant human-like robot bears a striking resemblance to the military robots starring in the movie 'Avatar' and is claimed as a world first by its creators from a South Korean robotic company

Jung Yeon-Je/AFP/Getty

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty

Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi

Rex

Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session

Rex

A test line of a new energy suspension railway resembling the giant panda is seen in Chengdu, Sichuan Province, China

Reuters

A test line of a new energy suspension railway, resembling a giant panda, is seen in Chengdu, Sichuan Province, China

Reuters

A concept car by Trumpchi from GAC Group is shown at the International Automobile Exhibition in Guangzhou, China

Rex

A Mirai fuel cell vehicle by Toyota is displayed at the International Automobile Exhibition in Guangzhou, China

Reuters

A visitor tries a Nissan VR experience at the International Automobile Exhibition in Guangzhou, China

Reuters

A man looks at an exhibit entitled 'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London

Getty

A new Israeli Da-Vinci unmanned aerial vehicle manufactured by Elbit Systems is displayed during the 4th International conference on Home Land Security and Cyber in the Israeli coastal city of Tel Aviv

Getty

Google

Dmitry Rogozin/Twitter

Chief engineer of LIFT aircraft Balazs Kerulo demonstrates the company's "Hexa" personal drone craft in Lago Vista, Texas on June 3 2019

Reuters

Getty

Apple has announced the new iPod Touch, the first new iPod in four years. The device will have the option of adding more storage, up to 256GB

Apple

Apple has cancelled its AirPower wireless charging mat, which was slated as a way to charge numerous apple products at once

AFP/Getty

India has claimed status as part of a "super league" of nations after shooting down a live satellite in a test of new missile technology

EPA

5G wireless internet is expected to launch in 2019, with the potential to reach speeds of 50mb/s

Getty

Uber has halted testing of driverless vehicles after a woman was killed by one of their cars in Tempe, Arizona. March 19 2018

Getty

A humanoid robot gestures during a demo at a stall in the Indian Machine Tools Expo, IMTEX/Tooltech 2017 held in Bangalore

Getty

A humanoid robot gestures during a demo at a stall in the Indian Machine Tools Expo, IMTEX/Tooltech 2017 held in Bangalore

Getty

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty

The giant human-like robot bears a striking resemblance to the military robots starring in the movie 'Avatar' and is claimed as a world first by its creators from a South Korean robotic company

Jung Yeon-Je/AFP/Getty

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty

Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi

Rex

Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session

Rex

A test line of a new energy suspension railway resembling the giant panda is seen in Chengdu, Sichuan Province, China

Reuters

A test line of a new energy suspension railway, resembling a giant panda, is seen in Chengdu, Sichuan Province, China

Reuters

A concept car by Trumpchi from GAC Group is shown at the International Automobile Exhibition in Guangzhou, China

Rex

A Mirai fuel cell vehicle by Toyota is displayed at the International Automobile Exhibition in Guangzhou, China

Reuters

View original post here:

AI deemed 'too dangerous to release' makes it out into the world - The Independent

The ethical, social and Jewish implications of Artificial Intelligence – Jewish News

Posted on November 13, 2019 by Danzig

Artificial Intelligence (AI) is the most important ethical issue of our age. It already impacts on so much of our social interactions and work-life patterns. Its certain that it will continue to play an ever-increasing role in all our lives.

Last year, Facebook claimed it would be able to predict when we will die, along with other key life events, from marriages to deaths, based on social media activity. As Jews, we should query the benefits and pitfalls of social media platforms and other data harvesting behemoths soon having these capabilities.

Its encouraging that some leading international data scientists are now keen to engage with philosophers and faith leaders as they start to deal with the ethical issues raised by AI. They know that people involved in faith have had thousands of years of practice discussing issues such as AI, which are hard to define but have a great impact on humanity. Ethical subjects ranging from war to the meaning of humanity and consciousness can be tackled by both religious leaders and scientists in a mutually beneficial relationship.

For instance, London is the city with the second highest level of surveillance in the world, behind Beijing, meaning that every Londoner is caught on CCTV approximately 300 times a day. What would Jewish teachings say about the ethical way to use all the data collected?

The Talmud used the phrasepuk chazi, meaning go look at what is in the marketplace, to emphasise that listening to what people are thinking, feeling and saying is an important step in writing laws that reflect the nature of society.

Analysing peoples behaviours from social media creates a dilemma while its useful knowing how people react to new information and misinformation, the 280 characters of a tweet can never tell the full story, and may completely skew the truth. If we extrapolate only from social media, at best we lose information and nuance and, at worst, we cause damage that cannot be undone as the online data is available forever.

Further questions arise if someone posts a photo of themselves smoking when they have claimed to be a non-smoker on their health insurance, should the social media platform share that with the insurer? Would it be right for the persons premiums to increase as a result?

I recently attended Data Science Africa in Ghana to better understand these issues. Africa is a place where learning about the power of data is used for vital issues such as water supply, climate change, agriculture and life-threatening illnesses including malaria. Learning about the use of AI in Africa is increasingly pertinent, as demographic shifts mean a significant part of world population growth in the coming decades will come from Africa within 15 years, one in four will live on the continent. Mustafa, who runs the new Google AI Lab in Ghana explained this by telling me that as a 34-year-old, he is older than 70 per cent of Sub-Saharan Africa.

Learning from Africa is vital as many of the problems already being encountered in regions of Africa will become the whole worlds problems as the climate crisis worsens. The solutions to extreme heat and water scarcity being developed in Ghana can be replicated worldwide.

This might seem remote, but data is already hugely important to our ability to lead a Jewish life in safety in the UK. If a synagogues database were hacked by a far-right group, its members could be in severe danger. Our security is now dependent on our cyber security.

We cannot switch off from the issue. We need to learn to understand it, get involved in it and impact on it. Just as we see a role for ourselves as Jews in medicine, law and a vast array of disciplines so, too, should we seek an active role in data science. If it affects us day-to-day, we cant just delegate it to others.

Rabbi Janner-Klausner grew up in London; worked as an educator in Jerusalem for 15 years working with Jews and as dialogue facilitator trainer of Palestinians and Israelis. She is the Senior Rabbi to Reform Judaism in the UK.

Original post:

The ethical, social and Jewish implications of Artificial Intelligence - Jewish News

Vision Artificial Intelligence Can Help Minimize Angst, For Companies And Customers, In The Relocation/Moving Industry – Forbes

Posted on November 13, 2019 by Danzig

Sergey Tarasov - stock.adobe.com

Much of the focus on deep learning systems for vision has been in three areas: autonomous vehicles, facial recognition, and robotics. However, as with the many other areas of artificial intelligence (AI), vision will have a far wider impact on society than in those three areas. The logistics of relocation are heavily depending, no surprise, on what is being moved. Vision can be applied to that challenge in order to create more accurate estimates much faster than before.

Moving is stressful. As a one news article points out, about one in five Americans (23 percent) think that moving is more stressful than planning a wedding, according to new research. Twenty-seven percent think its more stressful than a job interview, and more than one in 10 (13 percent) even go as far as to say its more stressful than a week in jail. Given that census data shows more than ten percent of Americans sixteen and over move every year, thats a lot of stress. However, moving isnt only stressful for the people relocating.

As someone who has moved a lot, including overseas, I understand the challenges experienced arent just those of the customer. Think about the costs of providing an estimate for moving a residence as that is simpler than the large picture of corporate moves. Most moving companies are small and local, yet they need to find a person to go out to every household, to walk through, write down the property, then create an estimate that drives a contract. To make things more complex, moving is seasonal. For instance, Summer is a very busy times for many reasons, including families try to wait until children finish school years. A company will find it hard to staff experienced estimators for a short period.

The concept of using the nearly ubiquitous smart phones camera to help customers quickly take an inventory from which to create an estimate is attractive. Taking pictures, though, isnt sufficient if it means an estimator has to squint at an image and identify everything.

One company using AI to address the estimation challenge is Yembo. The company decided to tackle this problem using deep learning. It was clear that supervised learning, where the trainers know the answer and feedback information to the system to make it more accurate. One amusing example of early learning problems was teaching the system to differentiate between white doors and refrigerators. Another part of training had to do with objects near other objects. If, for instance, the system isnt sure about a chair, but its near a kitchen table, percentages for an initial classification can be increased.

Data, as with all software, matters. Yembo used a mixed dataset, both from open sources and custom imagery, to help identify many objects, including things partially obscured by others. That allows a customer to take an image of a bedroom and recognize a nightstand partially blocked by the bed. Another fun example was based on the fact that many people have TVs near fireplaces. Early training had the system then identify fireplaces as TVs. Negative training had to be performed to show the system that those werent televisions.

When the team began to trial, another great advantage of applying AI to consumer solutions rather than engineering solutions came up: a natural focus on the user experience (UX). If the customer is going to walk around a home with a smart phone, the application needs to be simple. A single button to press is easier than selecting menus. In addition, downloading an app can be an annoying extra step for a process that happens only once every few years. The designers made the system to run in a browser so theres nothing to install.

Yembos software lets our customers conduct a virtual inventory in just afew minutes, explained David Cox, executive vice president, JK Moving Services. This innovative AI tool is enablingquicker turn-around; a more intuitive, accurate estimation process; and an ability for our estimators to handle more business while still increasing customer satisfaction.

Another added benefit exists, as shown by the testing. Images are much more useful than a list to the physical movers, the driver and crew who have to show up to pack items and load a vehicle. Boxes, padding, and equipment can be more efficiently allocated to each crew, and the accuracy of time estimates is also improved alongside volume and weight estimates.

Vision AI has a number of widely ranging applications. A key focus of this column is to notice how AI is moving from very academic and technical sandboxes into the world of business. What Yembo is doing interests me as it is a clear example of looking at a real problem and addressing it by leveraging AI as a component of a robust system.

Continued here:

Vision Artificial Intelligence Can Help Minimize Angst, For Companies And Customers, In The Relocation/Moving Industry - Forbes

Artificial Intelligence And Ethics: The Need For EQ Along With IQ – Express Computer

Posted on November 13, 2019 by Danzig

There is a certain morality in each one of us that drives us to better things, bigger things. We define greatness by reaching the technical and emotional facets of things. Integrity is so deeply rooted in the human mind that it makes it impossible to think of the world without it.

When we dwell on the topic of Artificial Intelligence, it has a whopping 3.5 billion dollar market growth which is expected to increase 20 times more in the next two years.

Read: AI And ML To Enhance The Efficiency Of The Credit Sector

For development this big, the implication of its growth on society must be questioned. The existence of AI has dissonant as well as favouring views. While some believe that AI could take over daily work so humans could focus on noble causes, others believe that they would become war machines. The latter is what pinpoints at the absence of ethics and emotions in AI.

Why ethics specifically for AI and not so much for data analytics and other subjects? Because unethical AI could have disastrous outcomes. War is a big example of this. Russias general has already announced that it has been working on AI guided missiles which can decide to switch targets mid-flight. To trust autonomy at a level of war and to at all train it for a war is a very big risk to take.

Artificial Intelligence is something created by humans and hence our relationship with it will be based on purpose. It is an effort at replicating complex human processes and making them more accurately. For example, calculations or equations could be done faster by an AI than a human. Lets not forget that human brain capacity is the basis upon which AI is created. So, it will always be at a point of comparison.

Since AI has already paved its way into our lives with intelligent devices, the possibility of AI dominating the market is not far. The purpose of these devices is to support and serve humans for their tasks and activities. How much is it influencing human activities? Enough to create human dependency on AI.

Smart furniture such as refrigerators, air conditioners, and TVs are guiding you to perform tasks that otherwise required your thought. The areas where you had to think before you did something are being looked after by AI.

You already have an assistant like Alexa, Siri, Google assistance, etc to note your reminders, set alarms, find and play the music you requested and well, even have a light-hearted conversation with.

Summing it up, the human-AI relationship is codependent and exists on purpose.

Very recently, an Australian tech daily covered the news that their government has come up with certain ethical guidelines for AI. Companies like Telstra, Microsoft, and Banks have already signed up for a trial. The ethics framework mainly focuses on AIs capability of understanding human-centered values, accountability and transparency.

Not just one country, but several countries have raised questions regarding the ethical aspect of AI and how it must have a positive impact on society.

What are they really expecting?

When we speak of ethics we are instinctively thinking of behaviour that is benefiting the society. While morals are a firm distinction between right and wrong, ethics are expected out of an individual. For example, an employees loyalty towards the organization he/ she works for is ethical. The honesty provided by a witness of an accident is ethical. The integrity of a person in taking into consideration the feelings of others is ethical.

Also Read: Responsible AI Design Using Human-Centred Design

For businesses to invest in AI, they would need to trust it. IBMs Watson is a great example of an ethical AI that targets businesses who want to use AI to help them work. Privacy, transparency, and accountability are very important for any business to indulge in technology.

Ethics is a very subjective concept but it depends on one thing- choice. An individuals choice of choosing to do the right thing even if there are other options benefiting them. As a society, we have an unconscious expectation from others in society to behave a certain way. At the end of the day, this is what keeps the social fiber of the community together and promotes a deeper sense of harmony.

Artificial intelligence comes closest to human society since it is a replication of the human mind. Intelligent devices become an integral part of our lives and hence need to adhere to the principles that hold the society together.

For tech giants like Microsoft and IBM, AI in their face recognition system developed a bias in its process of filtering people based on gender and skin type. Apart from IT industries, the use of AI in fields of creativity, therapy, sales, and marketing would also require it to have a certain amount of empathy. Every industry that is dealing with humans on a one to one basis will need an ethical AI.

Here are two cases of application of AI that becomes unethical:

In the coming years, AI is going to be changing the way we do things forever. When you put something of such high influence into the world, a critical examination of it is essential.

Also Read: Do We Trust Artificial Intelligence Agents To Mediate Conflict? Not Entirely

A utopian theme with AI would look like an automated car driving effortlessly through traffic and responding quickly in case of an accident. AI is used vastly in medical infrastructure and it should take decisions in the interest of patients. Smart devices in households should ensure that data is not breached and used otherwise. The credit and manufacturing sector also need to ensure ethical practices are followed with the use of AI.

The existence of AI so far has proved beneficial contrary to its disastrous portrayal in feature films. It has become inescapable from our lives and the way forward would be building its emotional quotient. Government organizations can work on developing a wholesome policy regulation of AI systems that could push forward the goals expected out of AI in the world.

What do you think the future of ethical AI would be? Let us know in the comment section below or tweet to us @ExpComputer

If you have an interesting article / experience / case study to share, please get in touch with us at [emailprotected]

Original post:

Artificial Intelligence And Ethics: The Need For EQ Along With IQ - Express Computer

JP Morgan Invests Undisclosed Amount in Limeglass, an Artificial Intelligence and Machine Learning Research Analysis Firm – Crowdfund Insider

Posted on November 13, 2019 by Danzig

JP Morgan, the worlds sixth-largest bank, has reportedly acquired an undisclosed stake in Limeglass, the developer of a set of tools that eliminate information overload in order to help people focus on the relevant paragraphs of their financial market research.

As one of JP Morgans in-residence startup graduates, Limeglass technology has been developed to automatically analyze the important information in research documents in real-time. The analysis tools take into consideration the context and structure of research papers.

The firms analysis tools use proprietary artificial intelligence (AI), natural language processing (NLP), and machine learning (ML) to smart-tag individual paragraphs in context. This allows financial institutions to personalize their research for internal and external users.

Rowland Park, co-founder and CEO at Limeglass, stated:

The volume of financial research, and the lack of innovation in how it is delivered, mean that market participants can spend hours searching through their email to find information on the trades they are considering. It is all too easy to miss vital information buried deep in large documents, wasting time and valuable research insights. Limeglass cuts through the noise, providing users with only the relevant paragraphs in their financial research with a simple search.

Limeglass graduated from JP Morgans in-residence program, which incubates various tech startups in order to help them create production-ready solutions that solve important wholesale banking problems. Other companies that took part in the in-residence program include Wematch, a trade matching service, post-trade firm AccessFintech, and data management platform Mosaic Smart Data.

Hussein Malik, head of transformation & implementation across sales & research at JPMorgan, noted:

The insights our Research teams produce daily are a huge source of value to our clients. We are continuously investing in technology to help deliver industry-leading content and to help us and our clients further mine that value.

Simon Gregory, co-founder and CTO at Limeglass, remarked:

Having worked in research for all my life, I was always surprised at how much research was being missed by users. We looked at the research consumption and distribution workflows from first principles and realised that the document centric approach was limiting access to the content. Using cutting edge technology to analyse the unstructured data in research documents, weve created a whole new way for market participants to engage with financial research.

See more here:

JP Morgan Invests Undisclosed Amount in Limeglass, an Artificial Intelligence and Machine Learning Research Analysis Firm - Crowdfund Insider

Select Page ::