In 1995, 'Deep Blue prototype' played in the 8th World Computer Chess Championship. After a scaled-down version of Deep Blue-Deep Blue Jr.-played Grandmaster Joel Benjamin, Hsu and Campbell decided that Benjamin was the expert they were looking for to develop Deep Blue's opening book, and Benjamin was signed by IBM Research to assist with the preparations for Deep Blue's matches against Garry Kasparov. Īfter Deep Thought's 1989 match against Kasparov, IBM held a contest to rename the chess machine: the winning name was 'Deep Blue', a play on IBM's nickname, 'Big Blue'. The team was first managed by Randy Moulic, followed by Chung-Jen (C J) Tan. Jerry Brody, a long-time employee of IBM Research, was recruited to the team in 1990. Anantharaman subsequently left IBM for the finance industry, and Arthur Joseph Hoane joined the team to perform programming tasks. Hsu and Campbell joined IBM in fall 1989, with Anantharaman following later. After graduating the university, Hsu, Thomas Anantharaman, and Murray Campbell were asked by IBM Research to continue their project to build a chess machine that could defeat a world champion. The project started under the name ChipTest at Carnegie Mellon University by Feng-hsiung Hsu and was followed by ChipTest's successor, Deep Thought. Kasparov accused IBM of cheating.ĭeep Blue's victory was considered a milestone in the history of artificial intelligence and has been the subject of several books and films. Having won the six-game rematch 3½–2½, it became the first computer system to defeat a reigning world champion in a match under standard chess tournament time controls. The computer was heavily upgraded and played once more against Kasparov in 1997. Deep Blue first played world champion Garry Kasparov in a six-game match in 1996, losing 4–2. IBM hired the development team when the project was briefly given the name Deep Thought. It was the first computer to win both a chess game and a chess match against a reigning world champion under regular time controls.ĭevelopment for Deep Blue began in 1985 with the ChipTest project at Carnegie Mellon University. IBM RS/6000 SP platform (32 nodes): 1996: 32 POWER2 (120 MHz) CPUs + 512 VLSI chess chips 1997: 32 P2SC (200 MHz) + 512 VLSI chess chipsĭeep Blue was a chess-playing supercomputer developed by IBM. That’s why, seven years later, if you ask the co-founder and CEO of DeepMind, Demis Hassabis, what his next target is after Go, he’ll tell you it’s Starcraft.A computer similar to Deep Blue at the Computer History Museum, Californiaġ995 (prototype) 1996 (release) 1997 (upgrade to Deep Blue II) The subtlety of Starcraft is enormous, as we explored back in 2010. Gone are the neat grids and prescribed moves of chess or Go – Starcraft is chaos. Players harvest resources, build armies and fight on virtual terrain filled with pinch-points, alleys and strategic high ground. The next frontier for AI in games is Starcraft 2, a space-war strategy game played in real time. Sorry humans, looks like the machines are holding all the cards. This year, a bot called Libratus designed by a team at Carnegie Mellon University played heads-up (two-player) poker against four highly ranked professionals and was convincingly victorious. That makes it unpredictable, daring and quintessentially human. No-Limit Poker has long been the target of AI experts, because the game features hidden information, the ability to bluff and the opportunity to put all your chips in the middle at any time. Prior to the game Garry Kasparov told New Scientist that Go’s clock was ticking, but the scale of the defeat nevertheless came as a shock, not least to Sedol. In a five-game match against top-ranked international Go star, Lee Sedol of South Korea, AlphaGo lost just one game. It used neural networks to learn the game and make its decisions.
#IBM SUPERCOMPUTER DEEP BLUE CHESS GAME CRACK#
The sheer number of possibilities for each move render it practically impossible to crack by brute-force computing, which is where DeepMind’s AlphaGo comes in. Created over 2500 years ago, it is perhaps the oldest game still enjoying widespread play. The next game to fall was the ancient Chinese game of Go. To get a closer look at how Watson worked its magic, we took a peek under the supercomputer’s hood. Fast forward to 2011, and IBM had another AI beast – a supercomputer by the name of Watson whose game of choice was the US quiz show Jeopardy! Our reporter watched as Watson beat two former Jeopardy! champions.