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Sep 17, 2017

Can the US Military Re-Invent the Microchip for the AI Era?

Posted by in categories: information science, mathematics, military, quantum physics, robotics/AI

Trying to outrun the expiration of Moore’s Law.


As conventional microchip design reaches its limits, DARPA is pouring money into the specialty chips that might power tomorrow’s autonomous machines.

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Sep 17, 2017

Facebook opens an A.I. research outpost in Canada

Posted by in categories: information science, robotics/AI

In addition to opening the lab, Facebook has committed about $5.75 million to support AI research at McGill, the University of Montreal, the Montreal Institute of Learning Algorithms and the Canadian Institute for Advanced Research, the company said in a Facebook blog post on Friday. Alphabet and Microsoft also have invested in AI at McGill and the University of Montreal.

The move comes a week after IBM said it would spend $240 million on a new AI lab in partnership with the Massachusetts Institute of Technology.


Facebook will support Canadian AI research in addition to setting up a lab in Montreal.

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Sep 13, 2017

Robots will become smarter than humans by 2029, says HP Chief Technology Officer Shane Wall

Posted by in categories: 3D printing, health, information science, robotics/AI, singularity

The ‘singularity’ event that scientists talk about in artificial intelligence (AI) — when robots would outsmart human beings in reasoning — has just been moved up, according to a top scientist at HP Inc. The progress in AI and machine learning has been so rapid that scientists have upped the estimate for the ‘singularity’ to happen in 2029 from 2040, shaving off 11 years of development time, says Shane Wall, Chief Technology Officer at HP, who also heads the HP Labs which is at the centre of innovation within the company.

Wall, who was speaking at the HP Reinvent Partner Forum here, said there may be some who watch with fear for that event to happen but taken adequate precautions, this change would bring in much good for everyone — be it in manufacturing, health, innovation or elsewhere. He said AI handles huge amount of data and can discern patterns to take decisions. “Machine learning uses AI and big data to learn and it can find things that no humans can see,” Wall noted.

According to him, already there are massive data farms which are crunching big numbers and there are research labs and companies where machines are taught how to use data to managing things around us. Wall, who joined HP over a decade ago, drives the company’s technology vision and its strategy and helms the innovation community within. According to him, machines have become smart enough to predict failures within a system and 3D manufacturing is a massive revolution in the making. “Already, 3D printing is handling intricate products and in the future this will bring about a disruptive change,” Wall said.

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Sep 13, 2017

Artificial Intelligence: The Quest for Universal Beauty Could Also Help Aging Research

Posted by in categories: information science, life extension, robotics/AI

Humanity has been attempting to measure and assess beauty long before anyone even knew about computers and algorithms. Surprisingly, a new technology may help to solve the ancient question that mankind has struggled to answer: what is universal beauty? And perhaps even more intriguingly, it might help us in aging research.

Leonardo da Vinci attempted to capture the essence of beauty in his famous drawing, Vitruvian Man, through the use of geometrically equal proportions. This drawing was based on the writing of Roman architect Vitruvius in his treatise De Architectura.

According to Plato, beauty was an idea or form of which beautiful things were a consequence. He suggested that beauty was found when the sum of parts became a harmonious whole.

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Sep 10, 2017

AutoX demonstrates how to build an autonomous car without expensive laser sensors

Posted by in categories: information science, robotics/AI, transportation

Jianxiong Xiao aims to make self-driving cars as widely accessible as computers are today. He’s the founder and CEO of AutoX, which recently demonstrated an autonomous car built not with expensive laser sensors but with ordinary webcams and some sophisticated computer-vision algorithms. Remarkably, the vehicle can navigate even at night and in bad weather.

AutoX hasn’t revealed details of its software, but Xiao is an expert at using deep learning, an AI technique that lets machines teach themselves to perform difficult tasks such as recognizing pedestrians from different angles and in different lighting.

Growing up without much money in Chaozhou, a city in eastern China, Xiao became mesmerized by books about computers—fantastic-sounding machines that could encode knowledge, logic, and reason. Without access to the real thing, he taught himself to touch-type on a keyboard drawn on paper.

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Sep 9, 2017

We Now Have an Equation That Explains How The Hell Quantum Chaos Behaves

Posted by in categories: biotech/medical, information science, neuroscience, quantum physics

While physicists have managed to wrap their minds around chaos theory in the macroscopic world, chaos also has its way at the quantum scale. And in many ways quantum chaos is even more perplexing than its large-scale counterpart.

Which is why it’s such a big deal that researchers have now presented a single equation that can predict how quantum chaos behaves.

This equation effectively explains the patterns within quantum chaos at the atomic level, and it could contribute to our understanding of everything from brain surgery to string theory.

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Sep 9, 2017

The Artificial Intelligence Race: The AI Documentary

Posted by in categories: education, information science, mobile phones, robotics/AI

Artificial Intelligence (AI) is a science and a set of computational technologies that are inspired by—but typically operate quite differently from—the ways people use their nervous systems and bodies to sense, learn, reason, and take action. While the rate of progress in AI has been patchy and unpredictable, there have been significant advances since the field’s inception sixty years ago…

Toby Walsh, Professor Artificial Intelligence, University of NSW Sydney “There’s lots of AI already in our lives. You can already see it on your smartphone every time you use Siri, every time you ask a lexer a question, every time you actually use your satellite navigation. You are using one of these algorithms. You are using some AI that’s recognizing your speech, answering questions, giving you search results recommending books for you to buy on Amazon. They’re the beginnings of AI everywhere in our lives.”

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Sep 7, 2017

This earpiece will allow you to understand new languages

Posted by in categories: futurism, information science

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Sep 6, 2017

IBM and MIT partner on artificial intelligence research

Posted by in categories: cybercrime/malcode, economics, health, information science, robotics/AI

BOSTON (AP) — IBM is planning to spend $240 million over the next decade to create an artificial intelligence research lab at MIT.

Massachusetts Institute of Technology on Thursday announced the formation of the new MIT-IBM Watson AI Lab. It will support joint research by IBM and MIT scientists.

Its mission will include advancing the hardware, software and algorithms used for artificial intelligence. It also will tackle some of the economic and ethical implications of intelligent machines and look at its commercial application for industries ranging from health care to cybersecurity.

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Sep 3, 2017

Artificial Intelligence and Smart Journalism

Posted by in categories: information science, robotics/AI

How is Artificial Intelligence actually thinking? Even their creators often don’t really fully understand. But if AI becomes more and more important you should at least have an idea of how algorithms get to results. And they think totally different to how human beings do, says Sara M. Watson, tech critic and writer at the Digital Asia Hub, Hong Kong. How can literature and journalism help to find a new perspective on AI?

“The biggest problem AI has is that even the engineers can’t really explain certain outcomes or certain decisions that go through an artificially intelligent system.”

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