chess
The intersection of artificial intelligence and the ancient game of chess has long captivated researchers, offering a fertile ground for testing the limits of computational strategy and intelligence. The journey from IBM's Deep Blue, which in 1997 famously defeated the reigning world champion, to today's highly sophisticated engines like Stockfish and AlphaZero underscores a continuous quest to refine and redefine machine intellect. These advancements have primarily been anchored in explicit search algorithms and intricate heuristics tailored to dissect and dominate the chessboard. In an era where AI's prowess is increasingly measured by its capacity to learn and adapt, a groundbreaking
Learn chess tactics taught in plain English; the most complete body of instruction on the subject yet written.
Chess openings visualized from over 800 million Lichess games, 2 million tournament games and 1 million chess engine games.
In 2011, Ward Farnsworth published a two-volume collection called Predator At The Chessboard: A Field Guide To Chess Tactics (Volume 1 - Volume 2) where he explains countless chess tactics in plain English.