Maia Chess: A human-like neural network chess engine

Microsoft researchers and collaborators at the University of Toronto and Cornell University have created chess AI that better matches human play at various skill levels. Unlike AlphaZero and LeelaZero which learned through self-play, Maia learns from millions of online human games. At this time 9 versions of Maia have been trained, one for each Elo milestone between 1100 and 1900. Maia 1100 for example was only trained on games between 1100-rated players, and so on. Each version learned from 12 million human games, and learns how chess is typically played at each level. In this video I play 2 games at time control 3|2 against each of the 3 available levels to date on lichess.org, namely Maia1 (~1100 Elo), Maia5 (~1500 Elo), and Maia9 (~1900 Elo).

https://maiachess.com
Microsoft Research Blog:
https://www.microsoft.com/en-us/research/blog/the-human-side-of-ai-for-chess/?OCID=msr_blog_MaiaChess_tw

I’m a self-taught National Master in chess out of Pennsylvania, USA who was introduced to the game by my father in 1988 at the age of 8. The purpose of this channel is to share my knowledge of chess to help others improve their game. I enjoy continuing to improve my understanding of this great game, albeit slowly. Consider subscribing here on YouTube for frequent content, and/or connecting via any or all of the below social medias. Your support is greatly appreciated. Take care, bye. 🙂

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