Enabling computers to master Go has been a kind of holy grail for some artificial intelligence scientists. Back in the '90s, software programs became adept at classic board games like backgammon.

The ancient Chinese game of Go is one of the last games where the best human players can still beat the best artificial… Posted by Mark Zuckerberg on Tuesday, January 26, 2016 ...

In tests, AlphaGo had a 99.8 percent "win rate" against other computer programs, and ultimately, the artificial intelligence system defeated the top human European Go champion in a tournament.

Computer Learns To Play Go At Superhuman Levels ... of 170 possible board configurations in Go — more than the number ... giving it a database full of thousands of human-played games of Go.

Computer chess programs work by analysing every possible move on the board but this is relatively straightforward when there are about 20 possible moves for each stage of the game. In Go, however ...

But there is one game at which expert human players continue to dominate machines: Go. The more than 2,500-year-old board game, in which two players use black and white stones to try to capture ...

It described the ongoing—and, to that point, fruitless—quest by artificial intelligence researchers to build a computer program that could defeat a top human player at Go, a board game that ...

AIs have defeated humans at even more computationally difficult games. This is an Inside Science story. A new computer program taught itself superhuman mastery of three classic games -- chess, go ...

LOS ANGELES — When a person’s intelligence is tested, there are exams. IQ tests, general knowledge quizzes, SATs. When artificial intelligence is tested, there are games. Checkers, chess, Go. But what ...

The program, dubbed AlphaGo, beat the human European Go champion Fan Hui by five games to none, on a full-size Go board with no handicap — a feat thought to be at least a decade away, according ...