In 1996, the IBM team thought their programme was sophisticated enough to challenge the reigning World Champion Garry Kasparov to a match.

In 1993, experts at the ACM (Association of Computing Machinery) believed that a search depth of 14 half-moves could beat the best human players. One of the ideas was to significantly increase the speed of calculations by parallelising CPUs. In 1989, the team took the project to IBM, where development continued under the direction of Dr Chun Jen Tan. Later, Jerry Brody and Joe Hoane joined them. He and Murray Campbell started the project at Carnegie Mellon University. Spiritus rector of the Deep Blue project was the programmer Feng-Hsiung Hsu. Still no ChessBase Account? learn more > The ultimate chess experience every day, PlaРµСљСљ welcomes 20,000 chess players from all around the world РІР‚вЂњ from beginner to grandmaster.Memorize it easily move by move by playing against the variation trainer. Still no ChessBase Account? learn more > Learn openings the right way! Build and maintain your repertoire.Still no ChessBase Account? learn more > Real Fun against a Chess Program! Play, analyze and train online against Fritz.Top authors like Daniel King, Lawrence Trent and Rustam Kasimdzhanov Still no ChessBase Account? learn more > Thousands of hours of high class video training.Still no ChessBase Account? learn more > Sac, sac, mate! Solve tactical positions of your playing strength.Store your games, training material and opening repertoire in the cloud.

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IBMРІР‚в„ўs goal is to accelerate human ability to create, learn, make decisions, and think, opening a new era in human-machine collaboration. In the next five years, many important decisions, be they business or personal, will be made with the assistance of a cognitive system like Watson. IBM Watson is on track to be used in some form by a billion people by the end of 2017. The cognitive system has been applied to real-world challenges such as helping doctors diagnose patients, teachers to provide personalized curriculum to students, tax preparers to help clients file returns and oil and gas engineers to ensure compliance. The promise of AI lies in the combination of man and machine. Therefore, we must factor the abilities and limitations of both machines and humans to create combined systems that enable outcomes better than what either could achieve alone. The Deep Blue Team 1997:Р’В Chung-Jen Tan, Murray Campbell,Р’В Joe Hoane, Feng-Hsiung Hsu, andР’В Jerry Brody.

While Deep Blue did use machine learning approaches, it relied primarily on a programmed understanding of the game of chess РІР‚вЂњ 64 squares, 32 pieces and well-defined moves and goals. Deep Blue used algorithms to explore up to 200 million possible chess positions per second, then chose the move with the highest likelihood of success. Over the last 20 years, IBM has worked to advance the field of AI. We too believe the promise of AI lies in its capacity to augment human abilities and intellect. Yet, Kasparov himself is now a self-described proponent of artificial intelligenceР’В (AI), recently calling it a boon to humankind, РІР‚Сљcapable of providing us with endless opportunities to extend our capabilities and improve our lives.РІР‚Сњ The match was cast as the ultimate example of man versus machine. The six-game match lasted several days and ended with two wins for IBM, one for the champion and three draws. On May 11, 1997, an IBM computer called Deep Blue defeated the reigning world chess champion, Garry Kasparov, capturing the attention and imagination of the world.

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