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The AlphaZero system developed by Google’s artificial intelligence (a.i.) division (DeepMind) came out of the 100 games it played against Stockfish (the best computer program in the world until then) undefeated, and needed no human help to win the unofficial world machine chess title with 28 victories.
This is an artificial intelligence system that leaves machine learning behind, learning to play against itself in a trial/error exercise called “learning by reinforcement”.
The system acquired excellence in chess in just nine hours (facing itself in 44 million games, more than a thousand per second), and with only one input, the rules of the game, it only knew how to move each piece, without any information about openings or endgames. In addition to his “brute force” in the calculation of millions of variants per second and the analysis of possible strategic patterns, it also surpasses us in skills such as intuition or creativity.
Despite not having been designed to play chess, it also discovered new ways of playing that had never been practiced, completely ignoring the theory of openings known to date. The Norwegian Magnus Carlsen, current world champion, has incorporated ideas conceived by the A.I. system into his style of play.
Today, there are chess programs that are clearly superior to the world chess champion, systems that are based on A.I., Big Data or Cloud Computing. AlphaZero, as a prime example, means a paradigm shift not only in chess, but also in the scientific world since thanks to A.I., it opens new ways with the trial/error method, allowing advances in almost any area.
Nubeprint invests 30% of its resources in R&D&I. In 2013, it develops the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS, this machine learning is a subcategory of artificial intelligence through which the system develops pattern recognition or the ability to learn continuously, with predictions based on Big Data, after which it makes the necessary adjustments without having been specifically programmed to do so.
SOURCE: en.chessbase.com / economiadigital.es/tecnologia / lavanguardia.com/tecnologia / Nubeprint.com
The system acquired excellence in chess in just nine hours (facing itself in 44 million games, more than a thousand per second), and with only one input, the rules of the game, it only knew how to move each piece, without any information about openings or endgames. In addition to his “brute force” in the calculation of millions of variants per second and the analysis of possible strategic patterns, it also surpasses us in skills such as intuition or creativity.
Despite not having been designed to play chess, it also discovered new ways of playing that had never been practiced, completely ignoring the theory of openings known to date. The Norwegian Magnus Carlsen, current world champion, has incorporated ideas conceived by the A.I. system into his style of play.
Today, there are chess programs that are clearly superior to the world chess champion, systems that are based on A.I., Big Data or Cloud Computing. AlphaZero, as a prime example, means a paradigm shift not only in chess, but also in the scientific world since thanks to A.I., it opens new ways with the trial/error method, allowing advances in almost any area.
Nubeprint invests 30% of its resources in R&D&I. In 2013, it develops the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS, this machine learning is a subcategory of artificial intelligence through which the system develops pattern recognition or the ability to learn continuously, with predictions based on Big Data, after which it makes the necessary adjustments without having been specifically programmed to do so.
SOURCE: en.chessbase.com / economiadigital.es/tecnologia / lavanguardia.com/tecnologia / Nubeprint.com
Today, there are chess programs that are clearly superior to the world chess champion, systems that are based on A.I., Big Data or Cloud Computing. AlphaZero, as a prime example, means a paradigm shift not only in chess, but also in the scientific world since thanks to A.I., it opens new ways with the trial/error method, allowing advances in almost any area.
Nubeprint invests 30% of its resources in R&D&I. In 2013, it develops the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS, this machine learning is a subcategory of artificial intelligence through which the system develops pattern recognition or the ability to learn continuously, with predictions based on Big Data, after which it makes the necessary adjustments without having been specifically programmed to do so.
SOURCE: en.chessbase.com / economiadigital.es/tecnologia / lavanguardia.com/tecnologia / Nubeprint.com
SOURCE: en.chessbase.com / economiadigital.es/tecnologia / lavanguardia.com/tecnologia / Nubeprint.com