Masatoshi Hidaka
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Masatoshi Hidaka, (日高雅俊)
a Japanese computer scientist, software engineer, and computer Shogi programmer. He is affiliated with the Machine Intelligence Laboratory, University of Tokyo [1], where his research interests include computer vision and deep learning.
He is co-author of WebDNN, an open source software framework for executing deep neural network (DNN) pre-trained model on web browser [2] [3].
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 [4]. Subsequent teams were The Minstrel's Ballad: Tanuki's Reign with Yu Nasu and at times Akio Kono joining [5] [6], and Ziosoft Computer Shogi Club, with the World Computer Shogi Championship entries of Shouten Gensou Knights of Tanuki (2017) [7], the end of genesis T.N.K.evolution turbo type D (2018) [8] [9] and the 29th World Computer Shogi Champion [10] YaneuraOu [11] [12]. He is further author of the AlphaZero like approach NeneShogi [13] [14], combining deep learning with Monte-Carlo tree search [15] [16], and the related TensorrtShogi' [17] using Nvidia's TensorRT 7 [18].
Selected Publications
- Katsunori Ohnishi, Masatoshi Hidaka, Tatsuya Harada (2016). Improved Dense Trajectory with Cross Streams. arXiv:1604.08826, ACM Multimedia 2016
- Masatoshi Hidaka, Yuichiro Kikura, Yoshitaka Ushiku, Tatsuya Harada (2017). WebDNN: Fastest DNN Execution Framework on Web Browser. ACM Multimedia 2017, pdf [20]
- Masatoshi Hidaka, Ken Miura, Tatsuya Harada (2017). Development of JavaScript-based deep learning platform and application to distributed training. arXiv:1702.01846, ICLR 2017
External Links
- Masatoshi Hidaka
- Masatoshi Hidaka - Google Scholar
- milhidaka (Masatoshi Hidaka) · GitHub
- Masatoshi Hidaka (milhidaka) - Libraries.io
- select766 (select766) · GitHub
- select766’s diary
References
- ↑ Machine Intelligence Laboratory (The University of Tokyo)'s Repositories - Libraries.io
- ↑ MIL WebDNN
- ↑ mil-tokyo/webdnn - Libraries.io
- ↑ 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
- ↑ WCSC26 participation list by Reijer Grimbergen, SHOGI-L, April 08, 2016
- ↑ The 27th World Computer Shogi Championship: participant list by Takenobu Takizawa, SHOGI-L, April 17, 2017
- ↑ 第27回世界コンピュータ将棋選手権 参加チーム wcsc27
- ↑ 第28回世界コンピュータ将棋選手権 参加チーム wcsc28
- ↑ Installation instruction of shogi engines, May 28, 2019
- ↑ 第29回世界コンピュータ将棋選手権 wcsc29
- ↑ 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
- ↑ GitHub - yaneurao/YaneuraOu: YaneuraOu is the World's Strongest Shogi engine(AI player), WCSC29 1st winner, educational and USI compliant engine
- ↑ ねね将棋 - django-\/\/ i K (NeneShogi)
- ↑ 第28回世界コンピュータ将棋選手権 参加チーム wcsc28
- ↑ GitHub - select766/neneshogi: NEural NEtwork Shogi
- ↑ GitHub - select766/neneshogi_wcsc28_YaneuraOu
- ↑ GitHub - select766/tensorrt-shogi: 将棋AI向けにTensorRTを動作させる
- ↑ Release Notes :: NVIDIA Deep Learning TensorRT Documentation
- ↑ dblp: Masatoshi Hidaka
- ↑ GitHub - mil-tokyo/webdnn: The Fastest DNN Running Framework on Web Browser
