Paper Abstract and Keywords |
Presentation |
2017-10-19 13:45
[Invited Talk]
Analog spintronics devices and its application to artificial neural networks Hisanao Akima, William Borders, Shunsuke Fukami, Satoshi Moriya, Shouta Kurihara, Aleksandr Kurenkov, Yoshihiko Horio, Shigeo Sato, Hideo Ohno (Tohoku Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Developing dedicated integrated circuits operating with low power consumption is indispensable to realize a large scale artificial neural network (ANN) like a human brain. Recently, emerging memories with non-volatile property have much attention for storing synaptic weights in ANNs. We have demonstrated associative memory operations using spin-orbit torque devices as non-volatile analog synaptic weights in Hopfield model. We confirmed that device mismatching can be compensated by learning process. Torrelable mismatching with respect to memory capacity was also evaluated by numerical simulation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Neural Network / Associative Memory / Nonvolatile Memory / Spin-Orbit Torque / / / / |
Reference Info. |
ITE Tech. Rep. |
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Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
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