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Archive for the ‘computing’ category: Page 756

Nov 13, 2015

Hologram Pop Star Hatsune Miku “Announces” 2016 US and Canada Tour

Posted by in categories: computing, media & arts

Oh Japan, how I love your beautiful insanity. wink


If you’re a fan of virtual musicians with computer-generated bodies and voices, and you live in North America, then do I have news for you.

Hatsune Miku, Japan’s “virtual pop star,” is coming to the US and Canada next year for a seven-city, synth-filled tour—her first tour in this neck of the woods. Miku herself may be a digital illusion, but her unique impact on the music industry is very real.

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Nov 11, 2015

David Eagleman: Can a Computer Simulate Consciousness?

Posted by in categories: computing, information science, neuroscience, space travel

Yes, conceivably. And if/when we achieve the levels of technology necessary for simulation, the universe will become our playground. Eagleman’s latest book is “The Brain: The Story of You” (http://goo.gl/2IgDRb).

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Nov 10, 2015

IBM is trying to solve all of computing’s scaling issues with 5D electronic blood

Posted by in categories: biotech/medical, computing

Animals use blood for cooling and power delivery. Why can’t computers, too?

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Nov 9, 2015

Inside Apple’s perfectionism machine — By Lance Ulanoff | Mashable

Posted by in categories: business, computing

inside-macbook

“For those struggling to understand what Apple is up to, it might be best to imagine the Apple logo as a giant, rose gold-colored apple sculpture that’s being polished beyond perfection, to some sort of ideal, a level of quality that is so undeniable that no competitor dares forget it.”

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Nov 9, 2015

TensorFlow — Google’s latest machine learning system, open sourced for everyone

Posted by in categories: computing, robotics/AI

Posted by Jeff Dean, Senior Google Fellow, and Rajat Monga, Technical Lead.

Deep Learning has had a huge impact on computer science, making it possible to explore new frontiers of research and to develop amazingly useful products that millions of people use every day. Our internal deep learning infrastructure DistBelief, developed in 2011, has allowed Googlers to build ever larger neural networks and scale training to thousands of cores in our datacenters. We’ve used it to demonstrate that concepts like “cat” can be learned from unlabeled YouTube images, to improve speech recognition in the Google app by 25%, and to build image search in Google Photos. DistBelief also trained the Inception model that won Imagenet’s Large Scale Visual Recognition Challenge in 2014, and drove our experiments in automated image captioning as well as DeepDream.

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Nov 9, 2015

The Imminent, the Possible, and the Irreversible: The Disruptive Potential of Artificial Intelligence

Posted by in categories: computing, military, robotics/AI

Major technological changes have a transformative effect on every aspect of human life. Increasingly intelligent programs are responsible to paradigm shifts at a steadily accelerating rate, a trend which acceleration theories suggest is all but guaranteed to continue.

We explore some of the most disruptive applications of artificial intelligence, examining in particular the impact of computer trading programs (algotraders) on stock markets. We explore some such imminent technologies (such as autonomous military robots) and their consequences (eg on job markets). We conclude with a discussion in the potentially irreversible consequences of this trend, including that of superintelligence.

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Nov 8, 2015

Rats Engineered to See Infrared Light, Use It to Seek Out Water

Posted by in categories: computing, neuroscience

The brain is a great information processor, but one that doesn’t care about where information comes from.

Sight, scent, taste, sound, touch — all of our precious senses, once communicated to the brain, are transformed into simple electrical pulses. Although we consciously perceive the world through light rays and sound waves, the computing that supports those experiences is all one tone — electrical.

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Nov 8, 2015

Facebook is building artificial intelligence to finally beat humans at Go

Posted by in categories: computing, neuroscience, robotics/AI

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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Nov 6, 2015

GlobalFoundries announces 14nm validation with AMD Zen silicon

Posted by in category: computing

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

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Nov 6, 2015

Researchers take two big steps toward quantum computing

Posted by in categories: computing, encryption, quantum physics

(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 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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