Inspired by AlphaGo Zero, I wondered if it would be possible to create a chess engine on the FileMaker Platform. Of the 100 games played, AlphaGo won a triumphant 28 and played to a draw on the rest (find match details here). But in this matchup, Stockfish performed like a fish out of water. Stockfish has dominated the chess world for years, consistently winning the World’s Chess Engine Championship. AlphaGo then played the world’s best computer chess engine, Stockfish. In late 2017, AlphaGo was given four hours to “self-train” and learn the game of chess. In other words, AlphaGo learns by playing itself, improving with each game. Give AlphaGo a set of rules for a game and it will play itself repetitively until it masters the game. While all of this technology is impressive, my favorite “deep learning” champ has to be AlphaGo Zero.

Then came AlphaGo Zero, which defeated the renowned chess engine Stockfish and inspired eXcelisys developer Joe Cellino to create a chess engine in FileMaker. Machine learning took a giant leap with AlphaGo, a computer program that learned to play the strategy game Go (pictured above). WordPress Repair and Troubleshooting Services.WordPress Maintenance & Support Packages.

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