Kasparov described the defeat “ a shattering experience.” In an essay for Time Magazine, he wrote, “I could feel-I could smell-a new kind of intelligence across the table,” in reference to a particularly clever move that Deep Blue did in the final round.īut compared to today’s dominant AI techniques, machine learning and deep learning, Deep Blue was dumb. The next year, an upgraded Deep Blue beat Kasparov in a six-game rematch. Kasparov won three of the matches and the other two ended in a draw.
#WHO DEVELOP DEEP BLUE CHESS GAME SERIES#
In 1996, Deep Blue, a chess-playing computer created by IBM, engaged in a series of chess matches against world champion Gary Kasparov, under standard regulations. However, we had to wait until the mid-1990s before we saw the first artificially intelligent chess player that could compete with world champions. Chess games were an integral part of personal computers since they first appeared in the 1980s. Several educational and scientific institutions have tried to create AI chess engines that could compete with humans. John McCarthy, the scientist who coined the term “artificial intelligence” in the 1950s, once referred to chess as the “ Drosophila of AI,” a reference to the breakthrough genetic research on fruit flies in the early 20th century.Ĭomputer chess is almost as old as the modern AI itself, with the first iterations appearing as early as 1959.
AI beats the world chess championįor long, we believed chess is the ultimate test of artificial intelligence. Here’s a list of the most significant games AI has conquered in recent years, proving that it can perform on par or at a level superior to that of competent human players. For decades, we’ve pitted artificial intelligence algorithms against humans in various games with different rules and difficulties.Īnd one by one, AI has been mastering those games. But the Turing Test only defines whether AI can fool humans, not compete with them, and it’s very hard to say how deep the Test goes.Ī much better arena to test the extent of AI’s intelligence, many scientists believe, are games, domains where contestants can measure and compare their success and clearly determine which one performs better. For many, the golden criteria for AI is the Turing Test, an evaluation of whether a computer can exhibit human behavior. Since the inception of artificial intelligence in the 1950s, we’ve been trying to find ways to measure progress in the field of AI. This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI.