30 May '17, 3pm

AI Designers Find Inspiration in Rat Brains

AI Designers Find Inspiration in Rat Brains

AI researchers call this ability to identify an object based on a single example “one-shot learning,” and they’re deeply envious of toddlers’ facility with it. Today’s AI systems acquire their smarts through a very different process. Typically, in an autonomous training method called deep learning, a program is given masses of data from which to draw conclusions. To train an AI camel detector, the system would ingest thousands of images of camels—cartoons, anatomical diagrams, photos of the one-humped and two-humped ­varieties—all of which would be labeled “camel.” The AI would also take in thousands of other images labeled “not camel.” Once it had chewed through all that data to determine the animal’s distinguishing features, it would be a whiz-bang camel detector. But Cox’s daughter would have long since moved on to giraffes and platypuses.

Full article: http://spectrum.ieee.org/biomedical/imaging/ai-designers-...

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