Deep blue chess simulator
3 years later, IBM hired grandmaster chess player Joel Benjamin to join the Deep Blue team, but they still lost its second match with Kasparov in February 1996. In 1993, the project’s name was changed to Deep Blue with hopes from IBM to boost the company’s publicity thanks to the project’s media exposure. This was also when Deep Thought tried to first combat the world champion Garry Kasparov, where Kasparov won both matches easily. Meanwhile, the three designers graduated from their PhD programs and joined IBM. May 1989, Deep Thought 0.02 wins its first world championship in chess games among programs. 6 months later, Deep Thought 0.02 was released with a computational power to calculate 720,000 moves per second powered by 2 special VLSI chess processors. Deep Thought 0.01 used the state-of-the-art programs to optimize ratings of moves in chess. In 1988, IBM sponsored the project, and the first Deep Thought program was finished.
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Murray Campbell joined the team months later since he had professional chess knowledge.
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In 1985, Hsu started his design with a 3 micrometer VLSI architecture to materialize a single-chip chess move generator and then he connected this generator to a chess game circuit designed by Anantharaman. The project started under the name “ChipTest” at CMU by 3 graduate students Feng-hsiung Hsu, Murray Campbell, and Thomas Anatharaman.Īfter graduation, these graduates agreed to work with IBM on a successor project, Deep Thought, to further their designs of the program, which eventually turned into the Deep Blue that we knew of.
So, what is Deep Blue anyway? Did it really mark the uprising of AIs?ĭeep Blue’s name came from a combination of its prototype “Deep Thought” developed back at CMU and the nickname of IBM “Big Blue”. More importantly, however, it sparked tremendous interests in the artificial intelligence field, attracting billions of dollars of investments in the next decades. This influenced the mainstream media from the success of Matrix to the mandatory appearance of AI assistants in Sci-fi movies. This was why IBM invested 10 million USD in a team at Carnegie Mellon University to develop the Deep Blue in 1997 to play with humans.Īfter the win, many thought the era of humans was put on a countdown and the singularity point – the point when machines overtake humans – was just around the corner. So, the AI needed a win the computer scientists needed a win most importantly, IBM needed a win. This script couldn’t solve real world problems and generate economic values for investors. In fact, most AIs at that time were linear logic machines like the RPG games we played in childhood – the NPCs seemed intelligent, but it was just following a written script. Fancy programs like neural networks and natural language processing were just fantasies on Powerpoint Presentations.
Limited to the hardware at that time, artificial intelligence can do little to solve real problems. The 1990s was a terrible time for artificial intelligence. But its influence lingers throughout the development history of AI. Is Ai the End of Chess?Īfter the game, Deep Blue retired with all the glories it deserved.Ģ3 years later, Deep Blue’s power is far inferior to modern computers and the algorithm itself has become less impressive – even a talented undergraduate student can write one by him/herself for the capstone project. After a year-long overhaul and upgrade, the new program successfully beat Kasparov in a rematch in May 1997, thus becoming the first computer system that beat a human world champion in a standard chess match. This gave relief to many people who feared the eventual computer uprising but did not prevent the teams at IBM from optimizing their algorithms and hardware.
Humans beat machines again, marking the end of the first human v.
After six tiring games, Kasparov beat Deep Blue with a 4:2, taking home $400,000 prize money from IBM. On February 17th 1996, world chess champion Garry Kasparov played against Deep Blue in a chess contest.