Watch deep blue chess win professional#

'Many of the AI systems available today are narrow.'Д¬ampbell explains that this means AI systems need to be constantly retrained to handle new or changing tasks-a time-consuming and computationally expensive process. 'In spite of the great progress in recent years, there are a number of challenges ahead of us,' explains Campbell. Led by Michael Bowling (computing science), the team also developed DeepStack in 2017, the first program to outplay human professionals at no-limit heads-up poker. In 2015, UAlberta's Computer Poker Research Group trumped luck with Cepheus-the first computer program to play an essentially perfect game of heads-up limit Texas hold'em poker.

Watch deep blue chess win professional#

AlphaGo has become the first computer program to defeat a professional human Go player and a Go world champion. Go is one of the oldest board games still played today, enjoyed by millions of people worldwide-and at least one computer program: AlphaGo, developed at DeepMind and led by UAlberta alumnus David Silver ('09 PhD). What makes these games such a compelling subject of study for computing scientists? Jonathan Schaeffer (computing science), explains: 'Progress in games has also accelerated, and recent results in chess, Go, and poker, including the poker-bot DeepStack from UAlberta, have been noteworthy.' On our game at UAlbertaД¬hess, Go, poker, checkers. 'AI is now leading to tools that can improve our decision-making and productivity, including speech recognition, image classification, and language translation. 'The big change from the 1990s is the incredible progress in machine learning,' says Campbell. New computer hardware and AI techniques have enabled the field to evolve substantially. The boundaries of computer science have been pushed a great deal in the more than two decades since Deep Blue's historic match. Harder problems, better AI, faster computers, stronger science The story of Kasparov and Deep Blue is one of humans versus humans, chess masters against scientists pushing the boundaries of artificial intelligence and computer programming. 'The 1997 match was very tense, but the victory in the final game of the match was a thrilling moment.' 'There was a lot of intense work leading up to the 1997 match, including building a new revision of the specialized chess hardware and debugging the system with the help of some strong chess grandmasters,' says Campbell. Watching the board just as intently as Kasparov was the team of scientists behind the computer, including Murray Campbell ('79 BSc, '81 MSc), instrumental co-creator of Deep Blue.

The humans behind the machineД«ut of course, calling the match one of 'human versus machine' doesn't tell the whole story. This rematch would be one for the history books: the first time a computer triumphed over a world champion as Deep Blue broke the tie to win the sixth and final game and take the match. It's Deep Blue's second attempt to take on Kasparov, after winning only a single game against him in their first match in 1996. On the other, IBM supercomputer Deep Blue, with a human assistant moving the pieces across the board. On one side of the board plays reigning World Chess champion, Garry Kasparov. But this high-stakes matchup has little to do with East and West-instead, it's a battle of human versus machine. On the table next to each player sits a small flag indicating their home country: one Russian, one American. It's Game 6, final round of the match, and the score is a dead tie. Chess pieces sit arrayed on a board, a chess clock quietly counting off tense seconds.

The boundaries of computing science have been pushed since AI supercomputers have been able to beat world champions in strategy games like chess, checkers, and Go.