Google supercharges machine learning tasks with TPU custom chip

Re:Google supercharges machine learning tasks with TPU custo... by Merovius on Wednesday May 18, 2016 @06:19PM (#11726475)

Note that the version of AlphaGo that beat Fan Hui and was presented in Nature is significantly different from the Version that played Lee Sedol. Unless you believe that they didn't work on it for half a year.

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Re:Google supercharges machine learning tasks with TPU custo... by indolering on Thursday May 19, 2016 @08:13PM (#11734838)

This explains a lot. Going into the match, Sedol thought he could beat DeepMind but thought it might only be a couple of years until the technology outpaced him. We knew Fan Hui and other Go professionals were helping the team, but a massive speedup is always nice too.

It's a bit underhanded, however. IMHO, the player should be able to study recent games before the match. But this is pretty typical, there were similar late-stage improvements with Chinook (checkers) and Deep Blue (chess).

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