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NNUE
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'''NNUE''', (ƎUИИ Efficiently Updatable Neural Networks)<br/>
a Neural Network architecture intended to replace the [[Evaluation|evaluation]] of [[Shogi]], [[Chess|chess]] and other board game playing [[Alpha-Beta|alpha-beta]] searchers running on a CPU.Inspired by [[Kunihito Hoki|Kunihito Hoki's]] approach of [[Piece-Square Tables|piece-square tables]] indexed by king location, and further two-piece locations and side to move as applied in his Shogi engine [[Bonanza]], '''NNUE ''' was introduced in 2018 by [[Yu Nasu]] <ref>[[Yu Nasu]] ('''2018'''). ''ƎUИИ Efficiently Updatable Neural-Network based Evaluation Functions for Computer Shogi''. Ziosoft Computer Shogi Club, [https://github.com/ynasu87/nnue/blob/master/docs/nnue.pdf pdf] (Japanese with English abstract)</ref>,and was used in Shogi adaptations of [[Stockfish]] such as [[YaneuraOu]] <ref>[https://github.com/yaneurao/YaneuraOu GitHub - yaneurao/YaneuraOu: YaneuraOu is the World's Strongest Shogi engine(AI player), WCSC29 1st winner, educational and USI compliant engine]</ref>,
and [[Kristallweizen]] <ref>[https://github.com/Tama4649/Kristallweizen/ GitHub - Tama4649/Kristallweizen: 第29回世界コンピュータ将棋選手権 準優勝のKristallweizenです。]</ref>, apparently with [[AlphaZero]] strength <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=72754 The Stockfish of shogi] by [[Larry Kaufman]], [[CCC]], January 07, 2020</ref>.
