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

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. But while computers have become faster, the way chess engines work has not changed. Their power relies on brute force, the process of searching through all possible future moves to find the best next one. Read more


Link to Full Article: Deep Learning Machine Teaches Itself Chess in 72 Hours, Plays at International Master Level