UPDATED 17:16 EST . 27 JANUARY 2018 Large-scale data gathering and quantum leaps in processing power have set the table for major advancement in artificial intelligence.
Yet there’s a growing body of evidence that the field of AI is poised to move into a whole new dimension, one where AI not only imagines the real world, but can begin to make accurate decisions on what’s real and important, what’s not — and thus predict what’s coming next. “Computers are really good at memorization,” Carl Vondrick, research scientist at Google Inc., said during a presentation at the Re-Work Deep Learning Summit in San Francisco Thursday.
“The problem is teaching them how to forget.” Vondrick’s research has focused on one of the most vexing challenges in today’s online world: how to make use of the massive database of unlabeled videos that clog nearly every corner of the web. It’s one thing to swoon over a cute baby or funny cat video.
It’s another to learn from it. The Google research team decided the best approach was to use millions of unlabeled video hours to train deep learning neural networks to reach a better understanding of the world.
By drawing on the vast cache of freely available footage, the AI-enabled network could correctly interpret not only what it saw, but what would happen next. In examples presented at the conference, Vondrick showed videos of people approaching each other and then the network decided, mostly correctly, what action would occur as a result. Read more from siliconangle.com…
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