Building machines that learn and think like people
Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals o...
| Main Authors: | , , , |
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| Format: | Article |
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Cambridge University Press
2017
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| Online Access: | http://hdl.handle.net/1721.1/112658 https://orcid.org/0000-0003-1722-2382 https://orcid.org/0000-0002-1925-2035 |