Computers are rapidly beginning to outperform humans in more or less every area of endeavor. For example, machine vision experts recently unveiled an algorithm that outperforms humans in face recognition. Similar algorithms are beginning to match humans at object recognition too. And human chess players long ago gave up the fight to beat computers.
But there is one area where humans still triumph. That is in playing the ancient Japanese game of Go. Computers have never mastered this game. The best algorithms only achieve the skill level of a very strong amateur player which the best human players easily outperform.
That looks set to change thanks to the work of Christopher Clark and Amos Storkey at the University of Edinburgh in Scotland. These guys have applied the same machine learning techniques that have transformed face recognition algorithms to the problem of finding the next move in a game of Go. And the results leave little hope that humans will continue to dominate this game.
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