A Coupled Spintronics Neuromorphic Approach for High‐Performance Reservoir Computing

Author:

Akashi Nozomi1ORCID,Kuniyoshi Yasuo2,Tsunegi Sumito3,Taniguchi Tomohiro3,Nishida Mitsuhiro4,Sakurai Ryo4,Wakao Yasumichi5,Kawashima Kenji2,Nakajima Kohei2

Affiliation:

1. Graduate School of Science Kyoto University Yoshida-honmachi Sakyo-ku Kyoto 606-8501 Japan

2. Graduate School of Information Science and Technology The University of Tokyo Bunkyo-ku Tokyo 113-8656 Japan

3. Research Center for Emerging Computing Technologies National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Ibaraki 305-8568 Japan

4. Digital Engineering Division Bridgestone Corporation Tokyo 104-8340 Japan

5. Advanced Materials Division Bridgestone Corporation Tokyo 104-8340 Japan

Funder

Japan Society for the Promotion of Science

Core Research for Evolutional Science and Technology

Publisher

Wiley

Subject

General Medicine

Reference97 articles.

1. K.Kowsari M.Heidarysafa D. E.Brown K. J.Meimandi L. E.Barnes inProc. of the 2nd Inter. Conf. on Information System and Data Mining ICISDM ’18 Association for Computing Machinery New York NY2018 p.19a 28 https://doi.org/10.1145/3206098.3206m.

2. J.Devlin M.-W.Chang K.Lee K.Toutanova arXiv preprint arXiv:1810.048052018.

3. Z.Lan M.Chen S.Goodman K.Gimpel P.Sharma R.Soricut inInt. Conf. on Learning Representations Addis Ababa Ethiopia2020 https://openreview.net/forum?id=H1eA7AEtvS.

4. Mastering the game of Go without human knowledge

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