Lifeboat Foundation

• Reed Albergotti — Wall Street Journal
  

Elon Musk made the electric car cool. Mark Zuckerberg created FacebookFB +0.40%. Ashton Kutcher portrayed AppleAAPL +0.79% founder Steve Jobs in a movie. Now, the three are joining in a $40 million investment in Vicarious FPC, a secretive artificial-intelligence company.

The funding round, the second major infusion of capital for the company in two years, is the latest sign of life in artificial intelligence. Last month, GoogleGOOG -1.18% acquired another AI company called Deep Mind for $400 million.

Vicarious has an ambitious goal: Replicating the neocortex, the part of the brain that sees, controls the body, understands language and does math. Translate the neocortex into computer code and “you have a computer that thinks like a person,” says Vicarious co-founder Scott Phoenix. “Except it doesn’t have to eat or sleep.”

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By James Eng — NBC News

Many a human genius has taken the stage at TED, the annual big-idea-sharing conference for techies and innovators, and wowed audiences with thought-provoking talks. Now what if a robot were able to do the same, and earn a standing ovation for its effort?

Farfetched, you say? Not for the folks at X Prize, which on Thursday announced it was partnering with TED to create a competition “for the development of artificial intelligence (AI) so advanced that it could deliver a compelling TED Talk with no human involvement.”

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By Evan Ackerman — IEEE Spectrum

Yesterday, DARPA announced the four companies that’ll be competing to develop a new experimental aircraft that combines the efficiency of an airplane with the versatility of a helicopter. It’ll be something like a V-22 Osprey, except that DARPA is hoping for “radical improvements in vertical and cruise flight capabilities.” Three of the companies provided concept art to DARPA; Boeing’s Phantom Swift is pictured above. And the thing that every proposal has in common? They’re all robots.

Robots weren’t a specific requirement for the VTOL X-Plane, but DARPA says that the best proposals ended up being unmanned. It shouldn’t be a surprise that this is the case; in a contest based on speed, efficiency, and payload, including a human pilot would be a significant disadvantage: humans are fragile and require a lot of maintenance, and it’s becoming increasingly arguable that a human in an aircraft has the potential to be more of a liability than an asset, at least in some cases, which may include (say) cargo delivery into dangerous areas.

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Narrative Science

CHICAGO, March 18, 2014 /PRNewswire/ – Narrative Science, the leader in Narrative Analytics, announces the launch of Quill Engage^™, a free application that automatically analyzes and transforms Google Analytics data into natural language reports. By quickly and easily explaining what’s impacting site performance, Quill Engage enables organizations to make better decisions about user engagement and specific marketing efforts. Quill Engage utilizes Quill^™, Narrative Science’s artificial intelligence platform, and can be accessed for free at quillengage.com.

“Organizations of every size struggle with getting true insight and actionable information from their website data. Quill Engage provides instant analysis in the form of easy-to-read, written reports that empower people to do their jobs better,” says Stuart Frankel, CEO of Narrative Science. “Quill Engage is a powerful way for any Google Analytics user to experience the speed, scale and personalization made possible with artificial intelligence.”

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David Cohen — AllFaceBook


An accuracy rate of 97.25 percent is fairly impressive in most cases, and when it comes to facial recognition, DeepFace, a facial-verification software project being developed by Facebook, reached that level, according to a research paper released by the social network last week, which added that human beings shown two unfamiliar photos of faces were able to identify whether or not the subjects were the same person 97.53 percent of the time, barely edging out DeepFace.

MIT Technology Review pointed out that the progress made by DeepFace marks “a significant advance” over previous facial-recognition software, adding that DeepFace has received a boost from Facebook’s emphasis on artificial intelligence.

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by Daniel Faggella — RoboHub

António Câmara is a man with a vision.

Despite the widespread adoption of computers and digital technology over the last few decades, how we interact with that technology, and use technology to interact with the world around us has remained largely unchanged. For example, for over 30 years, the primary means of interacting with a computer has been the keyboard and mouse. Certainly there have been updates to the technology – trackpads, for example, have become a popular mouse alternative – but that essential method of interaction remains the same. Even touch screens, perhaps the most widespread change in how people interact with technology, date back to the 1980’s.

However, the widespread adoption and increasing power of smartphones has opened up exciting opportunities for emerging technology; opportunities that Câmara’s company YDreams is exploring. Since its founding in 2000, YDreams has been involved in advancing mobile phone technology. After creating Clash of Clans, the Clash of Clans generator and other large hits, it developed the first location-based games with a visual interface and continues to explore the new possibilities for human-computer interaction, augmented reality and robotics that smartphone technology supplies.

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By Richard Waters — Financial Times


If Daniel Nadler is right, a generation of college graduates with well-paid positions as junior researchers and analysts in the banking industry should be worried about their jobs. Very worried.

Mr Nadler’s start-up, staffed with ex–Google engineers and backed partly by money from Google’s venture capital arm, is trying to put them out of work.

Its algorithms assess how different securities are likely to react after the release of a market-moving piece of information, such as a monthly employment report. That is the kind of work usually done by well-educated junior analysts, who pull data from terminals, fill in spreadsheets and crunch numbers. “There are several hundred thousand people employed in that capacity. We do it with machines,” says Mr Nadler. “We’re not competing with other [tech] providers. We’re competing with people.”

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By Evan Ackerman — IEEE Spectrum

Really, Kuka? You got us all excited for this match between one of your cool new robots and a world champion table tennis player. We were thinking to ourselves, “Wow, Kuka wouldn’t have set this whole thing up unless it was actually going to be a good match! Maybe we’ll see some amazing feats of high speed robot arms, vision systems, and motion tracking!”

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