![]() Kaufman argued that the only advantage of neural network–based engines was that they used a GPU, so if there was no regard for power consumption (e.g. Fellow developer Larry Kaufman said AlphaZero would probably lose a match against the latest version of Stockfish, Stockfish 10, under Top Chess Engine Championship (TCEC) conditions. In the computer chess community, Komodo developer Mark Lefler called it a “pretty amazing achievement”, but also pointed out that the data was old, since Stockfish had gained a lot of strength since January 2018 (when Stockfish 8 was released). Every Grandmaster loving the fact that AI is not playing passively like other chess engines and it goes for extremely aggressive and unusual positional sacrifices that may change some of our understanding to the chess basic positional rules and how we think about them! Former world champion Garry Kasparov said it was a pleasure to watch AlphaZero play, especially since its style was open and dynamic like his own. Human grandmasters were generally impressed with AlphaZero’s games against Stockfish. Morrow further stated that although he might not be able to beat AlphaZero if AlphaZero played drawish openings such as the Petroff Defence, AlphaZero would not be able to beat him in a correspondence chess game either!! Positive Feedback from the chess community : If you want to have a match that’s comparable you have to have Stockfish running on a supercomputer as well.Īnother critic was made related to Alphazero by the Top US correspondence chess player Wolff Morrow.He claimed that AlphaZero would probably not make the semifinals of a fair competition such as TCEC where all engines play on equal hardware. Grandmaster Hikaru Nakamura stated “I don’t necessarily put a lot of credibility in the results simply because my understanding is that AlphaZero is basically using the Google supercomputer and Stockfish doesn’t run on that hardware Stockfish was basically running on what would be my laptop. The truth is Alphazero was running on google super computers which gave it a serious advantage over any other chess engine running on any hardware. There has been few critics to the match as it was being unfair. Let’s check a couple of its games against Stockfish8 the strongest chess engine in 2018Ĭritics to AlphaZero match vs Stockfish 8: After 8 hours of self-training, the AI declared itself ready. It was taught only how the pieces move and the very basic rules of a chess game.The AI using neural network technologies was given 8 hours to train itself. ![]() ![]() The thing about this AI is that it didn’t have any access to any opening book or endgame tables. It always choose aggressive outrageous moves that made the world of chess remember the good old 18th Century chess geniuses such as Paul Morphy , In the match between Stockfish 8 and Alphazero we noticed a certain pattern in the move choice by the AI. In this article we are going to discuss some of the games released between Stockfish and Alphazero and what does it mean for the chess game? What is AlphaZero and how did it learn chess?Īlpha Zero is an AI (Artificial intelligence) algorithm made specifically for games with infinity numbers of possibilities. After 9 hours of training itself, the algorithm defeated Stockfish 8 in a time-controlled 100-game tournament (28 wins, 0 losses, and 72 draws). AlphaZero was trained solely via “self-play”. In each case it used google supercomputer hardware to run Alphazero. On December 5, 2017, the DeepMind team of developers and software engineers released a preprint introducing AlphaZero, which within 24 hours of training achieved a superhuman level of play in chess by defeating world-champion programs Stockfish, Elmo, and the three-day version of AlphaGo Zero. Written by: Emadeldin Teama The era of Artificial Intelligence in chess!
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |