Monthly Archives: August 2017

How Winter Olympians prep in summertime: wheels, wet suits, and virtual reality – Christian Science Monitor

Posted: August 1, 2017 at 6:19 pm

August 1, 2017 Theres not a snowflake in the sky, but Winter Olympic hopefuls are already flying off ski jumps in Utah, firing up their luge sleds in Lake Placid, N.Y., and cross-country skiing past Vermont cow pastures.

With everything from wet suits to wheels to virtual-reality tools, theyre simulating the challenges theyll face at the 2018 Olympic Games in Pyeongchang, South Korea, next February. The perseverance and perfection highlighted on TV for those short few weeks are being honed now, thanks in part to the innovative methods devised by coaches, trainers, and equipment designers.

Keaton McCargo uses the Ski Simulator at the Center of Excellence in Park City, Utah. The simulator can be used in tandem with virtual reality technology that simulates the sensory environment of an alpine ski run.

U.S. Ski & Snowboard

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In some ways the lack of natural snow or ice actually makes for safer, more efficient training. Whereas alpine skiers would spend much of their on-snow training sessions riding the chairlift, for example, a skiing simulator allows them to cut straight to the actual training run. Essentially a lateral treadmill, it mimics the forces skiers contend with while hurtling down mountains and can be used in tandem with virtual-reality technology that replicates the sensory environment of a ski race. A huge bonus: theres no danger of crashing.

What were trying to do is use virtual reality to expand the time that the athletes can spend in their field of play, says Luke Bodensteiner, executive vice president, athletics at the U.S. Ski and Snowboard Association (USSA) in Park City, Utah.

But he doesnt want to talk too much about that. Its one of the teams secret weapons heading into Pyeongchang.

Bodensteiner works out of the USSA Center of Excellence, which supports 195 national team athletes with state-of-the-art facilities (including napping areas) and a staff that includes conditioning coaches, dietitians, and physical therapists.

Chris Lillis is one of those athletes, and a rising star on the United States freestyle ski team. Last year he became the youngest male to win a World Cup in aerials skiing at age 17.

Freestyle skier Chris Lillis stands atop a jump at the Utah Olympic Park at the Tri-Nation Aerials Showdown on Sept. 11, 2016. Lillis trains at the facility during the summer and fall, and says that the softer landing afforded by the pool (below) enables him to fit in twice as many training jumps as on snow.

Tyler Tate/T Squared Action Sports

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Five days a week, he averages 25 to 30 jumps off the ramps at the Olympic Park, twisting in the air before landing in a pool. He wears ski boots and skis, and a wet suit in the summer switching to a dry suit in the fall as the temperatures drop, sometimes with sweatpants underneath.

The easier landing means he can do twice as many jumps as he would on snow. But theres a catch.

When we jump on snow the landing we jump on is between 28 and 32 degrees of pitch downwards, so if you land completely flat on water, you would land [wrong] on the snow, he explains, so they have to adjust their technique. You want to land forward to simulate snow.

Abby Ringquist also flies off jumps in Utah sans wet suit. A ski jumper, she cruises down porcelain tracks, springs into position, and floats through the air to land on moistened plastic. When she takes off, her hips must make an arcing motion similar to shooting a basketball your fist is kind of like your hips in ski jumping, explains Ringquist.

To perfect that motion, she also does imitations. Crouching down, she rides a small platform down a rollerboard, and then springs onto a pile of mats. Thats easier than when youre going 60 m.p.h. off a jump, explains Ringquist, who just placed second at US Nationals.

In between training, Lillis and Ringquist chip away at college and work multiple jobs. He works for a public-speaking company and a golf course; she coaches, works at a Habitat for Humanity ReStore, and waits tables at a breakfast restaurant.

None of my travel or equipment or lodging are covered unless its a World Cup weekend. So for me to travel this summer and next winter, its about $20,000, says Ringquist, who lives on a mini-ranch with her husband and their three dogs, two goats, and nine chickens. My plates overflowing, but I do the best I can.

Perhaps one of the hardest elements to replicate in summertime is the distractions of competition day. Take biathlon, for example, which combines cross-country skiing with shooting. As biathletes come into the shooting range, they stream into narrow lanes, pull their guns off their backs, load their ammo, and take aim at their five targets often with competitors right at their elbows.

Youll hear what theyre doing, youll see them out of the corner of your eye, says Susan Dunklee, whose silver at this years World Championships made her the first American woman to win an individual medal at Worlds. You always have to have a plan for when you do get distracted what are you going to do to refocus?

It can be something as simple as focusing on your trigger squeeze, which cant be too quick or too hard, or it will throw the bullet off course. So she practices that in the summertime just her finger and her rifle, getting to know that exact place where the trigger will engage, like the clutch of a car.

And thats just part of it. She also runs, hikes, bikes, and rollerskis through Vermont's rolling hills. Altogether, its up to four hours of training in the morning, and 1.5 hours in the afternoon six days a week. She goes through 17,000 rounds of ammunition a year.

As part of his summer training ahead of the 2018 Winter Olympics, Tucker West (l.) practices his luge starts at a refrigerated facility in Lake Placid, N.Y.

Courtesy USA Luge

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Dunklee got her start in biathlon at the Lake Placid Olympic Training Center, where elite athletes can live and eat for free.

Tucker West was recruited there after USA Luge heard about the luge track his dad had built in their backyard in Connecticut, which West would ride down on a plastic sled.

Those who deride luge as not a sport clearly havent heard about Wests workout regimen.

After 30 to 60 minutes of jogging and stretching, he shows up by 9 a.m.at a refrigerated facility with a short luge starting ramp equipped with starting gates and precision timing. He pulls six to 12 starts, then its off to the gym for an hour-long plyometric workout.

He eats lunch in 10 minutes no dessert and then one to three hours of lifting. Power cleans, power snatch, power jerks. And hanging by his fingers. All for those first few seconds when hell pull himself off the start and then use his hands to paddle down the icy track.

Sometimes they put wheels on their sleds and go down the streets of Lake Placid or even the actual luge tracks but thats too risky for an Olympic year. After stretching, massage, and other recovery methods, he eats dinner at 5 p.m. and then chips away at online college classes.

In bed by 10:30 to 11, he says. And then repeat.

With 192 days to go until the Pyeongchang Olympics opening ceremony, athletes from Lake Placid to Latvia have a lot of training ahead of them before the global spotlight is flicked on. Then, the world will see the fruits of their labors and maybe another little boy and his dad will be inspired to build something in their backyard, with a distant Olympics in mind.

Staff writer Story Hinckley contributed reporting.

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Second Life creator launches beta of its virtual reality simulation – TechCrunch

Posted: at 6:19 pm

Your third life is here (in beta).

The SF-based Linden Lab is at last launching an open creator beta of its VR-ready universe simulation, Sansar.The world creation and exploration title is expansive in its ambitions and still has a long way to go. After a lengthy creator preview in which early access was given to a couple thousand creators, there are 1,700 worlds to explore (some better than others, I imagine).

While last weeks surprise shutdown announcement for AltspaceVR, a social VR company that raised nearly $15 million, is still fresh on the minds, Linden Lab has the flexibility of profitability to help it guide its long-term vision for Sansar.

The company behind Second Life, a game which seemingly lost its wider cultural relevance more than a decade ago, has managed to make a ton of money as the titles most devoted lifers have continued to shovel cash into the online simulation. Despite the nascent nature of the VR market, the company has shifted its focus to building Sansar, though Second Life will continue on as a unique, separate entity.

Linden Lab has the luxury of monetizing world creation from the very beginning. In Second Life, users pay a pretty hefty amount in order to rent land while things beyond that stay relatively cheap otherwise. For Sansar, the land you build on is free (for your first few worlds); the costs start stacking up when you visit the asset store to populate those worlds with objects. If youre a budding 3D designer with time to spare, you can create a world customized to your liking on your own, but for those looking to drop a stock object like, say, a chair in their virtual home, they can drop some in-game coin on the product.

The company isnt looking to be very subtle with its ambitions of creating a wide network of explorable worlds that will grow to rival reality. Over my last several meetings, the company has not shied away from discussions of metaverses and simulations. In our latest meeting, a copy of Ready Player One sat unacknowledged on the table in the conference room, broadcasting its ambitions further without saying too much.

Whats launching today is very much a beta product of what Sansar will grow to become, but the experience is oddly so polished in some areas while sorely lacking in others. As-is, Sansar allows virtual reality users a wide swath of user-created worlds to explore and the potential to build their own whats missing are the tools to make exploring these arenas more interactive.

Unlike most VR developers, Linden Lab opted not to rely on an existing game engine like Unity or Unreal but instead built their own custom engine for Sansar thats wholly separate from what they built for Second Life. The limitations are pretty apparent early on, and while it is possible to build beautiful static worlds in Sansar, as an explorer youre ultimately left with a sort of three-dimensional board game to traverse thats generally only made dynamic by the multiplayer aspect. You can toss things like a basketball in some experiences, but the physics and controls themselves have a long ways to go.

Today, Sansar goes live on the HTC Vive and Oculus Rift, as well as 2D desktop experience on PCs.

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New Technology Brings Skeletal Tracking to Multi-Player Virtual Reality Experiences – Variety

Posted: at 6:19 pm

Virtual reality in movie theaters and malls is about to get a whole lot more realistic, thanks to new tracking technology introduced by OptiTrack this week. The company, which is already supplying tracking solutions to The Void and other location-based VR startups, introduced a new whole-body VR tracking solution at SigGraph in Los Angeles Monday that could be one more step towards making loction-based virtual reality mainstream.

The new solution is based on a kind of puck that players in VR centers and arcades can attach to their hands and feet. Combined with any data gathered from tracking their VR headsets and any additional equipment, these pucks will help to enable whole-body tracking in multiplayer virtual reality worlds.

OptiTrack started selling its 3D tracking solutions into multiple industries about a decade ago. The companys customers include visual effects companies, which use OptiTracks technology to add some human touch to animated characters by putting real-life actors and athletes into motion capture suits, among other things.

A few years ago, OptiTracks executives realized that they could sell the same technology to VR companies as well, in part because all of the hardware vendors in the emerging VR world were specializing on non-commercial applications. Oculus and Vive have both very good trackers but they are limited to room-scale, said OptiTrack Chief Strategy Officer Brian Niles during a recent interview with Variety.

VR headsets like the Oculus Rift and HTC Vive offer positional tracking to accurately reproduce movements in a 3D space, but both are currently restricted to a areas measuring between 100 and 150 square-feet big enough for a living room, but not for a VR center. Thats why OptiTrack repurposed some of its technology to work in significantly larger spaces, measuring 10,000 square feet and beyond.

In addition to bigger areas, OptiTracks tech also allows VR center operators to track a much wider range of props to make sure that flashlights, guns and other objects you might pick up in a VR experience are accurately represented in the virtual world. And now, the company is extending this kind of tracking to the players themselves, allowing multi-player experiences to accurately relay the movements of all players in VR. This is the first skeletal tracking of these players, said Niles.

OptiTrack also introduced self-calibrating tracking systems at SigGraph Monday, which could further simplify the operation of VR arcades. Motion tracking, whether used in the context of VR or for visual effects, has long required frequent calibration of the cameras used. Operators typically re-calibrate their sets every single day to account for small structural movements, which requires employees to walk through the space and wave a special wand to make sure that all cameras still track everything accurately.

Now, OptiTracks systems can do this kind of calibration by themselves, while in use. This may sound like a small advancement, but it could be a big deal in a nascent industry that is trying bring VR to thousands of malls and movie theaters without having to hire expensive specialists for every single location. High school students will be able to run this, said Niles.

Correction 12:01pm: A previous version of this story misstated the size of spaces OtiTracks solution is capable of tracking.

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This Is the Fastest-Growing Skill Demanded of Online Freelancers – Fortune

Posted: at 6:19 pm

As the world's tech giants invest heavily in virtual reality, the relatively few workers who specialize in the nascent field are seeing big benefits.

Demand for online freelancers with VR expertise grew far faster than for people with any other skill last quarter. Billings on VR projects grew more than 30-fold from the same period a year earlier, according to U.S. data provided by Upwork Inc.'s website that connects freelancers with employers.

VR has so far struggled to break into the mainstream, with the technology largely confined to high-end video gaming. Facebook Inc., which bought VR headset maker Oculus in 2014 for $2 billion, has already been lowering prices for the Oculus headset and is working on a more consumer-friendly version to be sold next year. Other companies that make VR goggles include Samsung Electronics Co., Alphabet Inc.'s Google and Sony Corp.

Overall, tech-related skills accounted for nearly two-thirds of Upworks list of the 20 fastest-growing skills. Specialties related to artificial intelligence, such as natural language processing, neural networks and image processing, dominated the top of the list. People who specialize in econometrics, a subspecialty of economics that involves building mathematical models to explain and predict the real world, also saw a big spike in demand for their work.

To be sure, the market for many of these kinds of workers is still small, growing from a pool that was basically nonexistent just a year ago. For example, there are just over 2,500 freelancers on Upworks site now who list VR as one of their skills, compared with 106 individuals at this point last year.

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The ‘creepy Facebook AI’ story that captivated the media – BBC News

Posted: at 6:18 pm


BBC News
The 'creepy Facebook AI' story that captivated the media
BBC News
The newspapers have a scoop today - it seems that artificial intelligence (AI) could be out to get us. "'Robot intelligence is dangerous': Expert's warning after Facebook AI 'develop their own language'", says the Mirror. Similar stories have appeared ...
Dystopian Fear Of Facebook's AI Experiment Is Highly ExaggeratedForbes
Facebook didn't kill its language-building AI because it was too smartit was actually too dumbQuartz
This is how Facebook's shut-down AI robots developed their own language and why it's more common than you thinkThe Independent
Gizmodo -CBS Los Angeles -Fast Co. Design -Facebook Code
all 205 news articles »

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Facebook Buys AI Startup Ozlo for Messenger – Investopedia

Posted: at 6:18 pm


Investopedia
Facebook Buys AI Startup Ozlo for Messenger
Investopedia
According to media reports, past demos on the company's website show how an AI digital assistant developed by the company can tell a user if a restaurant is group-friendly by gathering and analyzing all the reviews of the establishment. On its website ...
Facebook Acquires AI Startup OzloInc.com
Facebook buys Ozlo to boost its conversational AI effortsTechCrunch
Facebook acquired an AI startup to help Messenger build out its ...Recode
YourStory.com -Fortune -GeekWire
all 53 news articles »

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LogMeIn acquires chatbot and AI startup Nanorep for up to $50M – TechCrunch

Posted: at 6:18 pm

LogMeIn, the company that provides authentication and other connectivity solutions for those who connect remotely to networks and services, has made another acquisition to expand the products it offers to customers, specifically in its new Bold360 CRM platform, launched in June. The company has picked up Nanorep, a startup out of Israel that develops chatbots and other AI-based tools to help people navigate self-service apps.

LogMeIn is paying $45 million plus up to $5 million more in earn-outs based on performance and employees staying put over the next two years.

Nanorep had raised just under $7 million from investors that included Titanium out of Russia (which had also backed Cloudyn, recently acquired by Microsoft), Oryzn Capital and OurCrowd.

The startup already had around 500 large customers, including big names like FedEx, ToysRUs and Vodafone. In essence, its platform helps anticipate what customers are trying to do when theyre on a website say in a technical support or search situation and reduces the number of steps needed to get there. It looks like all of Nanoreps existing business will continue as its tech also gets integrated into Bold360.

LogMeIns launch of Bold360 earlier this year was intended to help the company expand the range of services that it offered to customers, beyond authentication and IT management within an organisation, and into more cloud-based services where the business interfaces with its customers.

However, the CRM space is already very crowded, and so its no surprise to see that LogMeIn has made an acquisition to add more features to the service to help set it apart from the pack.

With Nanorep, its also tapping into the recent enthusiasm and interest in AI and building intelligent services that mimic human behaviours, specifically in CRM.

Artificial intelligence is changing the way we interact with our favorite brands and will play a critical role in the future of customer engagement, said Bill Wagner, CEO, LogMeIn, in a statement. With Nanorep, we gain proven technology and AI expertise that expands our Bold360 offering, accelerates our customer engagement vision and provides a natural path for us to leverage these emerging technologies across our entire portfolio. We believe in the ability of technology to unlock the potential of the modern workforce and with the addition of Nanorep we are going to be able to deliver solutions that will help our customers achieve the next generation of humanized and personalized customer service.

Although LogMeIn has acquired Nanobot to help raise its game in CRM, on another level this is also an important move just to keep up.

Gartner predicts that conversational agents which you can interpret as a more fancy way of saying chatbots will account for 30 percent of all customer service interactions by 2022, up from just three percent today.

There are many others that are also active in this same area, includingSalesforce with its Einstein AI, Gong, which provides real-time processing and teaching to live agents; and Hubspot, which just made an acquisition of its own, of Kemvi.

What Nanorep is tapping into that is interesting is the fact that the vast range of businesses in the world are not tech-centric, and so they will be less capable of building AI solutions like chatbots themselves, nor will they want to spend an arm and a leg to get them: like all software, AI is gradually moving into the realm of being off-the-shelf, and LogMeIn is hoping to be a part of that trend.

This is publicly traded LogMeIns seventh acquisition, and its first since acquiring password manager LastPass in 2015 for $110 million.

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Google says AI better than humans at scrubbing extremist YouTube … – The Guardian

Posted: at 6:18 pm

YouTube says new, tougher rules will be implemented against supremacist content. Photograph: Sergei Konkov/TASS

Google has pledged to continue developing advanced programs using machine learning to combat the rise of extremist content, after it found that it was both faster and more accurate than humans in scrubbing illicit content from YouTube.

The company is using machine learning along with human reviewers as part of a mutli-pronged approach to tackle the spread of extremist and controversial videos across YouTube, which also includes tougher standards for videos and the recruitment of more experts to flag content in need of review.

A month after announcing the changes, and following UK home secretary Amber Rudds repeated calls for US technology firms to do more to tackle the rise of extremist content, Googles YouTube has said that its machine learning systems have already made great leaps in tackling the problem.

A YouTube spokesperson said: While these tools arent perfect, and arent right for every setting, in many cases our systems have proven more accurate than humans at flagging videos that need to be removed.

Our initial use of machine learning has more than doubled both the number of videos weve removed for violent extremism, as well as the rate at which weve taken this kind of content down. Over 75% of the videos weve removed for violent extremism over the past month were taken down before receiving a single human flag.

One of the problems YouTube has in policing its site for illicit content is that users upload 400 hours of content every minute, making filtering out extremist content in real time an enormous challenge that only an algorithmic approach is likely to manage, the company says.

YouTube also said that it had begun working with 15 more NGOs and institutions, including the Anti-Defamation League, the No Hate Speech Movement, and the Institute for Strategic Dialogue in an effort to improve the systems understanding of issues around hate speech, radicalisation and terrorism to better deal with objectionable content.

Google will begin enforcing tougher standards on videos that could be deemed objectionable, but are not illegal, in the coming weeks. The company said that YouTube videos flagged as inappropriate that contain controversial religious or supremacist content, but that do not breach the companys policies on hate speech or violent extremism will be placed in a limited state.

A YouTube spokesperson said: The videos will remain on YouTube behind an interstitial, wont be recommended, wont be monetised, and wont have key features including comments, suggested videos, and likes.

YouTube has also begun redirecting searches with certain keywords to playlists of curated videos that confront and debunk violent extremist messages, as parts of its effort to help prevent radicalisation.

Google plans to continue developing the machine learning technology and to collaborate with other technology companies to tackle online extremism.

YouTube is the worlds largest video hosting service and is one of the places extremist and objectionable content ends up, even if it originates and is removed from other services, including Facebook, making it a key battleground.

Big-name brands, including GSK, Pepsi, Walmart, Johnson & Johnson, the UK government and the Guardian pulled millions of pounds of advertising from YouTube and other social media properties after it was found their ads were placed next to extremist content.

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Better drugs, faster: The potential of AI-powered humans – BBC News

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BBC News
Better drugs, faster: The potential of AI-powered humans
BBC News
Scientists working in tandem with artificial intelligence (AI) could slash the time it takes to develop new drugs - and, crucially, the cost - say tech companies. Developing pharmaceutical drugs is a very expensive and time-consuming business.

and more »

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Why A Third Of Retailers Continue To Shun AI And Voice-Activation – GeoMarketing (blog)

Posted: at 6:18 pm

The retail industry has been gradually ramping up its use of artificial intelligence and voice-activation skills, there are still some holdouts due the lack of human-ness that nuanced and complex customer service tends to demand, a study cited by eMarketer shows.

Pointing to a survey of retailers by AI platform Linc and Brand Garage from May, eMarketer notes that over a third (34.1 percent) of US retail executives claim to be piloting AI programs.

The main use cases involve assisting human sales and customer service reps in dealing with shoppers problems or through quick conversations via chatbots.

As companys like Facebook continue to explore the use the AI and chatbots, retailers and other brick-and-mortar brands, along with their customers, will be experiencing more contact with AI whether theyre ready or not.

This week, Facebook acquired AI developer Ozlo to support its Messenger platform. Ozlo is primarily focused on building messenger bots that allows AI systems to respond to text-based take-out orders, connect consumers with ride-hailing services, among many other things.

Facebook has been building out its own intelligent agent, dubbed M, for over a year. By incorporating deeper machine learning techniques to better understand consumers and recommend a food order or ride service, the social network may help address one of the pain points that retailers say continues to hold them back from fully adopting AI programs.

At the moment, just 7.7 percent of retailers surveyed by Linc and Brand Garage have an existing, ongoing role for AI in their customer service programs.

For the ones who have not created a program for voice-activated assistants or chatbots, over a third (36.2 percent) say the technology isnt sophisticated enough to do what they need. Many retailers say they dont have the technical resources to support an AI initiative. Still others remain dubious that the technologies are ready to reach the mainstream at this early point.

On top of that, a perceptible minority 8.7 percent contend that implementing machine-based conversations would repel some consumers because of the sense that the direct connection with consumers would be eroded.

If someone wants a human, they will obviously be disappointed by an AI bot/assistant, says eMarketer principal analyst Victoria Petrock. However, as the systems learn customers preferences and become more sophisticated at predicting their wants and needs, AI bots might actually deliver up a more precise and personalized experience. They also may free up the employees to do higher-level work.

Erik Lautier, EVP of e-commerce/CMO at Francescas, a US-based womens clothing and accessories boutique with hundreds of locations, is one retail executive that has been bullish on AI.

Were currently experimenting with two things: first, our chatbot on Facebook Messenger shows our customers weather-based outfitting recommendations, closest boutique locations, etc.; second, our customers can receive shipping updates via Facebook Messenger or SMS, Lautier said in the Linc/Brand Garage survey.

While ROI is a challenge to measure near-term, as we enhance our capabilities in CRM, I expect well develop an understanding of how segments that interact with AI perform relative to others, Lautier added. We also havent approached our testing with an ROI first mentality. Weve developed these things because we felt a certain customer segment would find genuine value in it, and we expect that segment to grow in the months to come.

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