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'''YaneuraOu''', (やねうら王, Yaneura King Yaneura)<br/>an [[USI]] compliant [[:Category:Open Source|open source]] [[Shogi]] engine as well as a in 2016 [[CSA]] registered Shogi [[Search|search]] Shogi library by [[Motohiro Isozaki]] aka Yaneurao, written in [[Cpp|C++]], licensed under the [[Free Software Foundation#GPL|GPL 3.0]]. YaneuraOu with '''Otafuku Lab 2019''' won the [[WCSC29]] in 2019 <ref>[http://www2.computer-shogi.org/wcsc29/ 第29回世界コンピュータ将棋選手権 29th World Computer Shogi Championship]</ref> <ref>[https://otafuku-lab.co/ 大阪のAI・人工知能開発に特化したシステム会社 | お多福ラボ | A system company specializing in AI / artificial intelligence development in Osaka | Otafuku Lab]</ref>, YaneuraOu was further mentioned in the library column of many programs participating in the WCSC29, such as notably runner-up [[Kristallweizen]], third placed [[Tanu-King]], and 14 others.

YaneuraOu applies a Shogi adaptation of [[Stockfish|Stockfish's]] search, and uses can be combined with third party [[Evaluation|evaluations]], such as [[Elmo]] and [[Apery]] <ref>[https://www.uuunuuun.com/single-post/2017/12/09/how-to-install-yaneuraou-engine-with-third-party-evaluation-fileopening-book How to install Yaneuraou with third party evaluation files/opening books and Gikou2]</ref>.At the [[WCSC29]], it used a [[NNUE]] type of [[Evaluation|evaluation]] developed by [[Tanu-King]] team member [[Yu Nasu]] <ref>[https://www.apply.computer-shogi.org/wcsc29/appeal/YaneuraOu/appeal.txt wcsc29/YaneuraOu/appeal.txt]</ref>.One of the characteristics of the NNUE type is that the number of parameters of the evaluation function is smaller than [[Bonanza|BonanzBonanza's]] [[Bonanza#Description|KPPT]] type. Since the number of training phases required for [[Reinforcement Learning|reinforcement learning]] is considered to be approximately proportional to the number of parameters

9x9 Shogi [[Bitboards]] are defined as [[Array|array]] of two [[Quad Word|quad words]] and similar to [[Apery#Bitboards|Apery]] a , as conditional compiled [https://en.wikipedia.org/wiki/Union_type union type] with 128-bit type __m128i, explicitly taking advantage of [[SSE2]] instructions <ref>[https://github.com/yaneurao/YaneuraOu/blob/master/source/bitboard.h YaneuraOu/bitboard.h at master · yaneurao/YaneuraOu · GitHub]</ref>: