Lifeboat Foundation

Facebook is now tackling a problem that has evaded computer scientists for decades: how to build software that can beat humans at Go, the 2,500-year-old strategy board game, according to a report today from Wired. Because of Go’s structure — you place black or white stones at the intersection of lines on a 19-by-19 grid — the game has more possible permutations than chess, despite its simple ruleset. The number of possible arrangements makes it difficult to design systems that can look far enough into the future to adequately assess a good play in the way humans can.

“We’re pretty sure the best [human] players end up looking at visual patterns, looking at the visuals of the board to help them understand what are good and bad configurations in an intuitive way,” Facebook chief technology officer Mike Schroepfer said. “So, we’ve taken some of the basics of game-playing AI and attached a visual system to it, so that we’re using the patterns on the board—a visual recognition] system—to tune the possible moves the system can make.”

The project is part of Facebook’s broader efforts in so-called deep learning. That subfield of artificial intelligence is founded on the idea that replicating the way the human brain works can unlock statistical and probabilistic capabilities far beyond the capacity of modern-day computers. Facebook wants to advance its deep learning techniques for wide-ranging uses within its social network. For instance, Facebook is building a version of its website for the visually impaired that will use natural language processing to take audio input from users — “what object is the person in the photo holding?” — analyze it, and respond with relevant information. Facebook’s virtual assistant, M, will also come to rely on this type of technology to analyze and learn from users’ requests and respond in a way only humans could.

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GlobalFoundries has announced 14nm validation with AMD and confirmed Zen’s tapeout.

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(Phys.org)—” Spooky action at a distance,” Einstein’s famous, dismissive characterization of quantum entanglement, has long been established as a physical phenomenon, and researchers are keen to develop practical applications for entanglement including communication, encryption, and computing.

Quantum entanglement is a phenomenon in which the production or the interactions of a number of particles cannot be described independently of each other, and must instead be described in terms of the whole system’s quantum state.

Two recent experiments with entanglement have been reported in the Proceedings of the National Academy of Sciences, one proving that complex quantum states in photons can be preserved even in turbulent atmospheric conditions; the other demonstrating entanglement swapping between qubits over the 143 kilometers between the Canary Islands and Tenerife.

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Short Bytes: Artificial Intelligence holds a special place in the future of the humanity. Many tech giants, including Facebook, have long been working on improving the AI to make lives better. Facebook has decided to reveal its milestones in Artificial Intelligence Research in the form of a progress report.

It doesn’t matter if you are scared of AI like Elon Musk or Stephen Hawking or if you have an opinion same as that of Google’s chief of Artificial Intelligence that computers are remarkably dumb. Companies are still going through the byzantine process of training the machines and creating human brain algorithms. Meanwhile, Facebook has just announced its progress report.

Facebook’s AI research team (FAIR) will present at NIPS, an Artificial Intelligence conference, its report card and reveal the team’s achievements regarding its state-of-the-art systems. Facebook has been trying to improve the image recognition and has created a system that speeds up the process by 30% using 10 times less training data from previous benchmarks.

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A new type of ‘nanotweezer’ capable of positioning tiny objects quickly and accurately and freezing them in place could enable improved nanoscale sensing methods and aid research to manufacture advanced technologies such as quantum computers and ultra-high-resolution displays.

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A team of researchers with Ulsan National Institute of Science and Technology and Dong-A University, both in South Korea, has developed an artificial skin that can detect both pressure and heat with a high degree of sensitivity, at the same time. In their paper published in the journal Science Advances, the team describes how they created the skin, what they found in testing it and the other types of things it can sense.

Many scientists around the world are working to develop artificial skin, both to benefit robots and human beings who have lost skin sensation or limbs. Such efforts have led to a wide variety of artificial skin types, but until now, none of them have been able to sense both pressure and heat to a high degree, at the same time.

The new artificial skin is a sandwich of materials; at the top there is a flexible surface meant to mimic the human fingerprint (it can sense texture), beneath that sit sensors sandwiched between graphene sheets. The sensors are domed shaped and compress to different degrees when the skin is exposed to different amount of pressure. The compression also causes a small electrical charge to move through the skin, as does heat or sound, which is also transmitted to sensors—the more pressure, heat or sound exerted, the more charge there is—using a computer to measure the charge allows for measuring the degree of sensation “felt.” The ability to sense sound, the team notes, was a bit of a surprise—additional testing showed that the artificial skin was actually better at picking up sound than an iPhone microphone.

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People don’t understand how big of a deal this is.

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Post-Human is a scifi proof-of-concept short based on the bestselling series of novels by me, David Simpson. Amazingly, filmed over just three hours by a crew of three, the short depicts the opening of Post-Human, drawing back the curtain on the Post-Human world and letting viewers see the world and characters they’ve only been able to imagine previously. You’ll get a taste of a world where everyone is immortal, have onboard mental “mind’s eye” computers, nanotechnology can make your every dream a reality, and thanks to the magnetic targeted fusion implants every post-human has, everyone can fly (and yep, there’s flying in this short!) But there’s a dark side to this brave new world, including the fact that every post-human is monitored from the inside out, and the one artificial superintelligence running the show might be about to make its first big mistake. wink

The entire crew was only three people, including me, and I was behind the camera at all times. The talent is Madison Smith as James Keats, and Bridget Graham as his wife, Katherine. As a result of the expense of the spectacular location, the entire short had to be filmed in three hours, so we had to be lean and fast. What a rush! (Pun intended).

Continue reading “Post-Human” »

Thanks to advances in artificial intelligence being made at Carnegie Mellon University, computers may soon be able to give timely warnings when video surveillance cameras detect unusual activity.

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