Google’s DeepMind consistently beats Fan Hui, the European GO grandmaster

This is pretty amazing news.

DeepMind’s program AlphaGo beat Fan Hui, the European Go champion, five times out of five in tournament conditions, the firm reveals in research published in Nature on 27 January. It also defeated its silicon-based rivals, winning 99.8% of games against the current best programs. The program has yet to play the Go equivalent of a world champion, but a match against South Korean professional Lee Sedol, considered by many to be the world’s strongest player, is scheduled for March. “We’re pretty confident,” says DeepMind co-founder Demis Hassabis.

The technique is deep recurrent learning with neural networks.

About hypergeometric

See http://www.linkedin.com/in/deepdevelopment/ and http://667-per-cm.net
This entry was posted in artificial intelligence, deep recurrent neural networks, Go, machine learning, perceptrons. Bookmark the permalink.

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