The Google-owned computer AlphaGo is retiring from playing humans in the ancient Chinese game of Go after roundly defeating the world's top player this week, its developer said on Saturday.
AlphaGo defeated the 19-year-old world number one Ke Jie of China on Saturday to sweep a three-game series that was closely watched as a measure of how far artificial intelligence (AI) has come. AlphaGo last year became the first computer programme to beat an elite player in a full Go match, and its success has been hailed due to the game's difficulty.
AlphaGo has a great number of moves, and it also has the human-like "thinking" and strategy. But this week's contests in the eastern Chinese city of Wuzhen were its last, said DeepMind Technologies, the London-based AI company that developed AlphaGo and which Google acquired in 2014.
In a blog post, DeepMind founder Demis Hassabis said AlphaGo's developers will turn to "the next set of challenges, developing advanced general program that could one day help scientists as they work out some of our most difficult problems". These could include "finding new cures for diseases, dramatically reducing energy consumption, or inventing new materials," he said. "If AI systems prove they are able to discover significant new knowledge and strategies in these fields too, the breakthroughs could be truly remarkable. We can’t wait to see what comes next."
Go involves two players laying black and white stones on a grid, trying to capture the most territory. Invented nearly 3,000 years ago in China, it is played worldwide but most popular in East Asia. Top players have been interested in AlphaGo, describing its play as groundbreaking and opening up new ways of approaching the game. Likewise, AlphaGo's success has fuelled visions of AI that can not only perform pre-programmed tasks, but help people look at complex scientific, technical and medical mysteries in new ways. AlphaGo's "thinking" is powered by millions of connections similar to neurons in the brain. It is partly self-taught, having played millions of games against itself.
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