Google’s DeepMind Defeats Legendary Go Player Lee Se-Dol in Historic Victory

Sam Byford, reporting for The Verge from Korea:

Go is an ancient Chinese board game that has long been considered one of the great challenges faced by AI. While computer programs now best the world’s leading human players of games like checkers and chess, the high level of intuition and evaluation required by Go has made it tough for computers to crack. DeepMind’s AlphaGo program is the most advanced effort yet, using a complex system of deep neural networks and machine learning; it beat European champion Fan Hui last year, but Lee Se-dol is another proposition entirely.

“I don’t regret accepting this challenge,” said Lee. “I am in shock, I admit that, but what’s done is done. I enjoyed this game and look forward to the next. I think I failed on the opening layout so if I do a better job on the opening aspect I think I will be able to increase my probability of winning.” Lee was surprised both by how strong AlphaGo’s opening was, and by some unexpected moves.

Update: DeepMind won game 2 as well.

★ Wednesday, 9 March 2016