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While neural networks have been used in the evaluation functions of chess engines since the late 1980s, with programs such as NeuroChess, Morph, Blondie25, Giraffe, AlphaZero, and MuZero,[43][44][45][46][47] neural networks did not become widely adopted by chess engines until the arrival of efficiently updatable neural networks in the summer of 2020. Efficiently updatable neural networks were originally developed in computer shogi in 2018 by Yu Nasu,[48][49] and had to be first ported to a derivative of Stockfish called Stockfish NNUE on 31 May 2020,[50] and integrated into the official Stockfish engine on 6 August 2020,[51][52] before other chess programmers began to adopt neural networks into their engines.

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