{"id":4308,"date":"2018-01-29T18:24:24","date_gmt":"2018-01-29T15:24:24","guid":{"rendered":"http:\/\/www.artificialbrain.xyz\/?p=4308"},"modified":"2018-02-09T14:20:08","modified_gmt":"2018-02-09T11:20:08","slug":"learning-first-principles-demis-hassabis","status":"publish","type":"post","link":"https:\/\/www.newworldai.com\/learning-first-principles-demis-hassabis\/","title":{"rendered":"Learning From First Principles – Demis Hassabis"},"content":{"rendered":"

Between 04-09 December 2017 , thousands of researchers and experts gathered for at the largest and most influential AI and Thirty-first Annual Conference on\u00a0Neural Information Processing Systems\u00a0(NIPS) in Long Beach, California.\u00a0This is the conference\u2019s 40th year, and its most-attended, at 7,229 registrations.<\/b><\/em><\/span><\/h2>\n

Demis Hassabis, the founder and CEO of DeepMind and an expert chess player himself, presented further details of the system, called Alpha Zero, at an Artificial Intelligence Conference in California. The program often made moves that would seem unthinkable to a human chess player.<\/span><\/p>\n

\u201cIt doesn\u2019t play like a human, and it doesn\u2019t play like a program,\u201d Hassabis said at the Neural Information Processing Systems (NIPS) conference in Long Beach. \u201cIt plays in a third, almost alien, way.\u201d<\/span><\/p>\n