Google's #AI seeks further Go glory - @BBCNews
  • Image copyright Getty Images Image caption AlphaGo will challenge some of China’s top Go players later this month Google has challenged China’s top Go player to a series of games against its artificial intelligence technology.It said the software would play a best-of-three match against Ke Jie, among other games against humans in the eastern Chinese city of Wuzhen from 23–27 May.Last year, the Google program recorded a 4–1 victory against one of South Korea’s top Go players.One expert said that result had come as a surprise.
  • Image copyright other Image caption AlphaGo won four matches out of five against Lee Se-dol Google’s AlphaGo software was developed by British computer company DeepMind, which was bought by the US search firm in 2014.
  • Image copyright Google Image caption Ke Jie — seen on the far right — met Google chief executive Sundar Pichai in Beijing last year In addition to the games against Mr Ke, AlphaGo will also: play games involving one Chinese pro facing off against another, each of whom will have an AlphaGo-powered virtual teammate challenge a five-person team containing some of China’s top players, who will work together to try to beat the AI Over the past year, DeepMind’s technology has also been used to find ways to reduce energy bills at Google’s data centres as well as to try to improve care in British hospitals.
  • “If it loses this match, a lot of people will be delighted to claim that Google and DeepMind has overpromised and that this is the kind of hype we always get with AI,” commented Mr Chace.
  • Media playback is unsupported on your device Media captionA brief guide to Go Go is thought to date back to several thousand years ago in China.Using black-and-white stones on a grid, players gain the upper hand by surrounding their opponent’s pieces with their own.The rules are simpler than those of chess, but a player typically has a choice of 200 moves, compared with about 20 in chess — there are more possible positions in Go than atoms in the universe, according to DeepMind’s team.That means a computer cannot win simply via brute force — searching through the consequences of millions of moves in seconds.It can be very difficult to determine who is winning, and many of the top human players rely on instinct.To prepare for its victory over Lee Se-dol, DeepMind trained its software on 30 million expert moves and then set the machine to play against itself millions of times to get a sense of what strategies worked.The result was that some of the innovative moves AlphaGo made in its landmark match were described as being “beautiful” and highly unusual by observers.

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