Deep Blue was a chess-playing computer developed by IBM. It was the first computer to win both a chess game and a chess match against a reigning world champion under regular time controls. Deep Blue won its first game against world champion Garry Kasparov in game one of a six-game match on 10 February 1996.
What did Deep Blue do that was important?
Twenty years ago IBM’s Deep Blue computer stunned the world by becoming the first machine to beat a reigning world chess champion in a six-game match. Computer scientists had for decades viewed chess as a meter stick for artificial intelligence.
Where does Blue Origin make their rocket engines?
We’re now preparing for serial production of our most powerful engine, the BE-4, in Huntsville, Alabama. All our engines and propulsion subsystems are thoroughly tested and qualified in Van Horn, Texas. The BE-3 is the first new liquid hydrogen-fueled rocket engine to be developed for production in America in over a decade.
How did machine learning help in deep blue?
When I started with IBM, machine learning methods for game-playing programs were fairly primitive and not able to help us much in building Deep Blue. We worked on algorithms for efficient search and evaluation of the possible continuations, which we knew Deep Blue would need in order to compete.
How did deep blue work to conquer chess?
Deep Blue was a hybrid. It had general-purpose supercomputer processors combined with these chess accelerator chips. We had software that ran on the supercomputer to carry out part of a chess computation and then hand off the more complex parts of a move to the accelerator, which would then calculate [possible moves and outcomes].
What was the depth of deep blue in 1997?
The 1997 version of Deep Blue searched between 100 million and 200 million positions per second, depending on the type of position. The system could search to a depth of between six and eight pairs of moves—one white, one black—to a maximum of 20 or even more pairs in some situations.