Analogue spin–orbit torque device for artificial-neural-network-based associative memory operation

• William A. Borders

• Hisanao Akima

• Shunsuke Fukami

• Satoshi Moriya

• Shouta Kurihara

• Yoshihiko Horio

• Shigeo Sato

• Hideo Ohno

抄録

We demonstrate associative memory operations reminiscent of the brain using nonvolatile spintronics devices. Antiferromagnet–ferromagnet bilayer-based Hall devices, which show analogue-like spin–orbit torque switching under zero magnetic fields and behave as artificial synapses, are used. An artificial neural network is used to associate memorized patterns from their noisy versions. We develop a network consisting of a field-programmable gate array and 36 spin–orbit torque devices. An effect of learning on associative memory operations is successfully confirmed for several 3 × 3-block patterns. A discussion on the present approach for realizing spintronics-based artificial intelligence is given.

収録刊行物

• Applied Physics Express

  Applied Physics Express 10 (1), 013007-, 2016-12-20

  IOP Publishing

詳細情報

• CRID: 1360283696335452416
• NII論文ID: 210000135729
• DOI: 10.7567/apex.10.013007
• ISSN: 18820786
• ISSN: 18820778
• ISSN: http://id.crossref.org/issn/18820786
• Web Site: http://stacks.iop.org/1882-0786/10/i=1/a=013007/pdf
• Web Site: http://stacks.iop.org/1882-0786/10/i=1/a=013007?key=crossref.8632d2f8bf5b5188eceed3b5118067ce
• Web Site: https://iopscience.iop.org/article/10.7567/APEX.10.013007
• Web Site: https://iopscience.iop.org/article/10.7567/APEX.10.013007/pdf
• データソース種別:
  • Crossref
  • CiNii Articles
  • KAKEN