[Deep Learning and AlphaGo].

Journal: Brain and nerve = Shinkei kenkyu no shinpo
PMID: 31289242

Abstract

When the Information Processing Society of Japan (IPSJ) declared the end of the challenge to the Japanese Shogi Association in 2015, the belief was that it would take more than 20 years for computers to catch up with human professional Go players, as Go is far more complex than shogi from a combinatorial perspective. However, AlphaGo, whose paper was just published the same year, beat the Go world champion in all three games in 2017. In this paper, we describe the artificial intelligence methods adopted by AlphaGo, especially deep learning, and consider their relationship with neuroscience.

Authors

  • Hiroyuki Yoshida
    From the 3D Imaging Research Lab, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 25 New Chardon St, Suite 400C, Boston, MA 02114 (R.T., J.J.N., N.K., T.H., H.Y.); Department of Information Science and Technology, National Institute of Technology, Oshima College, Yamaguchi, Japan (R.T.); Department of Medical Physics and Engineering, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan (J.O.); Department of Medical Physics, University of Applied Sciences Giessen, Giessen, Germany (N.K.); Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea (S.H.K.); Department of Surgical Sciences, University of Torino, Turin, Italy (D.R.); and Candiolo Cancer Institute, Fondazione del Piemonte per l'Oncologia-Istituto di Ricovero e Cura a Carattere Scientifico (FPO-IRCCS), Candiolo, Turin, Italy (D.R.).

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