Energy-efficient chip performs powerful artificial-intelligence tasks

03 February 2016 MIT researchers have presented a chip designed specifically to implement neural networks at the International Solid State Circuits Conference in San Francisco. The chip is claimed to be 10 times as efficient as a mobile GPU, so it could enable mobile devices to run powerful artificial-intelligence algorithms locally, rather than uploading data to the Internet for processing. Neural nets were widely studied in the early days of artificial-intelligence research, but by the 1970s, they’d fallen out of favour. In the past decade, however, they’ve enjoyed a revival, under the name ‘deep learning’. “Deep learning is useful for many applications, such as object recognition, speech and face detection,” says Vivienne Sze, an assistant professor of electrical engineering at MIT. “Right now, the networks are pretty complex and are…

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