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Deep Learning Machine Teaches Itself Chess in 72 Hours, Plays at International Master Level

In a world first, a machine plays chess by evaluating the board rather than using brute force to work out every possible move.

It’s been almost 20 years since IBM’s Deep Blue supercomputer beat the reigning world chess champion, Gary Kasparov, for the first time under standard tournament rules.  Since then, chess-playing computers have become significantly stronger, leaving the best humans little chance even against a modern chess engine running on a smartphone.


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