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Masatoshi Hidaka

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Created page with "'''Home * People * Masatoshi Hidaka''' '''Masatoshi Hidaka''', (日高雅俊)<br/> a Japanese computer scientist, software engineer, and computer Shogi..."
'''[[Main Page|Home]] * [[People]] * Masatoshi Hidaka'''

'''Masatoshi Hidaka''', (日高雅俊)<br/>
a Japanese computer scientist, software engineer, and computer [[Shogi]] programmer. He is affiliated with the ''Machine Intelligence Laboratory'', [https://en.wikipedia.org/wiki/University_of_Tokyo University of Tokyo] <ref>[https://libraries.io/github/mil-tokyo/repositories Machine Intelligence Laboratory (The University of Tokyo)'s Repositories - Libraries.io]</ref>, where his research interests include [https://en.wikipedia.org/wiki/Computer_vision computer vision] and [[Deep Learning|deep learning]].
He is co-author of '''WebDNN''', an open source software framework for executing [[Neural Networks#Deep|deep neural network]] (DNN) pre-trained model on [https://en.wikipedia.org/wiki/Web_browser web browser] <ref>[https://mil-tokyo.github.io/webdnn/ MIL WebDNN]</ref> <ref>[https://libraries.io/github/mil-tokyo/webdnn mil-tokyo/webdnn - Libraries.io]</ref>.

=[[Shogi]]=
Masatoshi Hidaka is author and co-author of various [[Shogi]] playing programs, and member of their corresponding development teams.
In 2016, his first Shogi programming involvement was with ''Tanuki no Mori'' as member of the ''Tanuki no Mori Production Committee'' along with [[Hisayori Noda]], [[Jun Okabe]], and [[Takahiro Suzuki]] <ref>[http://www2.computer-shogi.org/wcsc26/team.html 第26回世界コンピュータ将棋選手権 参加チーム] 26th World Computer Shogi Championship participating teams</ref>.
Subsequent teams were ''The Minstrel's Ballad: Tanuki's Reign'' with [[Yu Nasu]] and at times [[Akio Kono]] joining
<ref>[https://groups.google.com/d/msg/shogi-l/-fO7GP6Zzww/8pG4UYeNAAAJ WCSC26 participation list] by [[Reijer Grimbergen]], [https://groups.google.com/forum/#!forum/shogi-l SHOGI-L], April 08, 2016</ref>
<ref>[https://groups.google.com/d/msg/shogi-l/v-tznD0IQe0/37KYlSYtAgAJ The 27th World Computer Shogi Championship: participant list] by [[Takenobu Takizawa]], [https://groups.google.com/forum/#!forum/shogi-l SHOGI-L], April 17, 2017</ref>,
and ''Ziosoft Computer Shogi Club'', with the [[World Computer Shogi Championship]] entries of ''Shouten Gensou Knights of Tanuki'' ([[WCSC27|2017]])
<ref>[http://www2.computer-shogi.org/wcsc27/team.html 第27回世界コンピュータ将棋選手権 参加チーム wcsc27]</ref>,
''the end of genesis T.N.K.evolution turbo type D'' ([[WCSC28|2018]]) <ref>[https://www.apply.computer-shogi.org/wcsc28/team.html 第28回世界コンピュータ将棋選手権 参加チーム wcsc28]</ref>
<ref>[https://www.uuunuuun.com/single-post/2019/05/28/Installation-instruction-of-shogi-engines-v2019-May Installation instruction of shogi engines], May 28, 2019</ref>
and the [[WCSC29|29th World Computer Shogi Champion]] <ref>[http://www2.computer-shogi.org/wcsc29/ 第29回世界コンピュータ将棋選手権 wcsc29]</ref> [[YaneuraOu]] <ref>[http://yaneuraou.yaneu.com/ やねうら王 公式サイト | コンピューター将棋 やねうら王 公式サイト]</ref> <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>.
He is further author of the [[AlphaZero]] like approach ''NeneShogi'' <ref>[https://www.qhapaq.org/shogi/shogiwiki/softs/neneshogi/ ねね将棋 - django-\/\/ i K] (NeneShogi)</ref> <ref>[https://www.apply.computer-shogi.org/wcsc28/team.html 第28回世界コンピュータ将棋選手権 参加チーム wcsc28]</ref>,
combining [[Deep Learning|deep learning]] with [[Monte-Carlo Tree Search|Monte-Carlo tree search]] <ref>[https://github.com/select766/neneshogi GitHub - select766/neneshogi: NEural NEtwork Shogi]</ref> <ref>[https://github.com/select766/neneshogi_wcsc28_YaneuraOu GitHub - select766/neneshogi_wcsc28_YaneuraOu]</ref>,
and the related ''TensorrtShogi''' <ref>[https://github.com/select766/tensorrt-shogi GitHub - select766/tensorrt-shogi: 将棋AI向けにTensorRTを動作させる]</ref> using [[Nvidia|Nvidia's]] ''TensorRT 7'' <ref>[https://docs.nvidia.com/deeplearning/tensorrt/release-notes/tensorrt-7.html Release Notes :: NVIDIA Deep Learning TensorRT Documentation]</ref>.

=Selected Publications=
<ref>[https://dblp.org/pers/h/Hidaka:Masatoshi.html dblp: Masatoshi Hidaka]</ref>
* [https://dblp.org/pers/hd/o/Ohnishi:Katsunori Katsunori Ohnishi], [[Masatoshi Hidaka]], [https://dblp.org/pers/hd/h/Harada:Tatsuya Tatsuya Harada] ('''2016'''). ''Improved Dense Trajectory with Cross Streams''. [https://arxiv.org/abs/1604.08826 arXiv:1604.08826], [https://dblp.org/db/conf/mm/mm2016.html ACM Multimedia 2016]
* [[Masatoshi Hidaka]], [https://dblp.org/pers/hd/k/Kikura:Yuichiro Yuichiro Kikura], [https://dblp.org/pers/hd/u/Ushiku:Yoshitaka Yoshitaka Ushiku], [https://dblp.org/pers/hd/h/Harada:Tatsuya Tatsuya Harada] ('''2017'''). ''WebDNN: Fastest DNN Execution Framework on Web Browser''. [https://dblp.org/db/conf/mm/mm2017.html ACM Multimedia 2017], [https://www.mi.t.u-tokyo.ac.jp/assets/publication/webdnn.pdf pdf] <ref>[https://github.com/mil-tokyo/webdnn GitHub - mil-tokyo/webdnn: The Fastest DNN Running Framework on Web Browser]</ref>
* [[Masatoshi Hidaka]], [https://dblp.org/pers/hd/m/Miura:Ken Ken Miura], [https://dblp.org/pers/hd/h/Harada:Tatsuya Tatsuya Harada] ('''2017'''). ''Development of JavaScript-based deep learning platform and application to distributed training''. [https://arxiv.org/abs/1702.01846 arXiv:1702.01846], [https://dblp.org/db/conf/iclr/iclr2017w.html ICLR 2017]

=External Links=
* [https://milhidaka.github.io/index_en.html Masatoshi Hidaka]
* [https://scholar.google.co.jp/citations?user=sRJNi0wAAAAJ&hl=en Masatoshi Hidaka‬ - ‪Google Scholar‬]
* [https://github.com/milhidaka milhidaka (Masatoshi Hidaka) · GitHub]
* [https://libraries.io/github/milhidaka Masatoshi Hidaka (milhidaka) - Libraries.io]
* [https://github.com/select766 select766 (select766) · GitHub]
* [https://select766.hatenablog.com/ select766’s diary]

=References=
<references />
'''[[People|Up one level]]'''
[[Category:Shogi Programmer|Hidaka]]
[[Category:Researcher|Hidaka]]

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