Maia Chess (www.maiachess.com)

Maia Chess is an innovative human-like chess engine that diverges from traditional AI approaches by prioritizing human-like play over optimal moves. Developed using deep learning techniques, Maia predicts human moves at various skill levels instead of solely focusing on winning, making it an excellent tool for training, game analysis, and coaching. By employing a set of nine neural network engines, Maia targets specific skill ratings from 1100 to 1900 on the Lichess.org scale. This approach allows players to learn from realistic decision-making rather than the perfection typical of superhuman AI. The latest version, Maia-2, enhances this concept by consolidating its capabilities into a single model that can adapt in real time to any player’s skill level. It captures individual playing styles, requiring only 20 games to mirror a player's approach, making it feel more personalized and intuitive. Furthermore, Maia-2’s ability to recognize unique decision-making patterns highlights the individualized nature of chess styles. This advancement represents a significant step in aligning AI with human behavior, providing a robust platform for player development and a deeper understanding of the strategic elements of the game.