When Machines Learn Like Humans (1 of 3) (IMAGE)

American Association for the Advancement of Science (AAAS)

When Machines Learn Like Humans (1 of 3)

Caption

This paper compares human and machine learning for a wide range of simple visual concepts, or handwritten characters selected from alphabets around the world. This is an artist's interpretation of that theme. Art by Danqing Wang. This material relates to a paper that appeared in the Dec. 11, 2015 issue of <i>Science</i>, published by AAAS. The paper, by B.M. Lake at New York University in New York, NY, and colleagues was titled, "Human-level concept learning through probabilistic program induction."

Credit

Danqing Wang

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