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Brandon Bailey of San Jose Mercury News reports, “The latest Silicon Valley arms race is a contest to build the best artificial brains. Facebook, Google and other leading tech companies are jockeying to hire top scientists in the field of artificial intelligence, while spending heavily on a quest to make computers think more like people. They’re not building humanoid robots — not yet, anyway. But a number of tech giants and startups are trying to build computer systems that understand what you want, perhaps before you knew you wanted it. ‘It’s important to position yourself in this market for the next decade,’ said Yann LeCunn, a leading New York University researcher hired to run Facebook’s new A.I. division in December. ‘A lot is riding on artificial intelligence and content analysis, and on being smarter about how people and computers interact’.”

 

Bailey continues, “Artificial intelligence programs can already recognize images and translate human speech. Tech researchers want to build systems that can match the human brain’s ability to handle more complex challenges — to intuitively predict traffic conditions while steering automated cars or drones, for example, or to grasp the intent of written texts and spoken messages, so they can better anticipate what kind of information, including ads, their users want to see. Facebook has recruited several well-regarded A.I. scientists, including one from Google, in recent months. Google has been working on artificial intelligence for several years, enlisting prominent researchers such as Stanford’s Andrew Ng and the University of Toronto’s Geoffrey Hinton to help build computer systems known as “neural networks,” which are capable of teaching themselves.”

 

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