Artificial Intelligence: Go Lee Se-dol master wins against AlphaGo program

AI Media captionGoogle lost to Lee Se-dol after winning three consecutive games

Master game player Guo won his first match against the computer program Google, after losing three in a row in the competition the best of the five.

Lee Se-dol, one of the best players in the world, said his victory over AlphaGo was "priceless."

Chinese board game is considered to be a much more difficult task for the computer than chess, and wins AlphaGo were seen as a landmark moment for artificial intelligence.

The fifth game will be played on Tuesday.

Lee Se-dolImage copyrightReuters
Image captionMr Lee is one of the greatest players in the game today
Go is a game of two players who take turns putting black and white stones on a grid of 19-by-19. Players win by taking control of more territory on the board.

Commentator Michael Redmond said AlphaGo played well until the middle of the game, but in the course of 78, Mr. Lee played brilliantly.

Speaking after his victory, Mr Lee said: "I never congratulated so much, because I won one game."

Google representatives said that the defeat was "very valuable" for AlphaGo, as it identified the problem that now they can try to fix it.

Tweet by Demis HassabisImage copyrightOther
Image captionDeepMind executive director Demis Hassabis reacts to news
In the first game of the series, AlphaGo triumphed very narrow margin - Mr. Li led most of the match, but AlphaGo managed to create a strong leadership role in its final stages.

After losing the second match in the deep mind, Lee Se-dol said he was "speechless," adding that the car AlphaGo plays "almost the perfect game".

In the third game of the commentators said that Lee Se-dol brought his "top game", but that AlphaGo won "in great style".

AlphaGo system was developed British computer company DeepMind, which was bought by Google in 2014.

She created her own experience studying old games and teasing game patterns.

DeepMind executive director Demis Hassabis said AlphaGo "played himself, a different version of itself, millions and millions of times, and each time there is progressively a little bit better."

"He learns from his mistakes," he told the BBC.