Akiyo Nomura

Dr. Akiyo Nomura is a Staff Research Scientist in the Technology Enablement and Design group, Semiconductors at IBM Research - Tokyo. The group is located in the IBM Shin-Kawasaki facility at NANOBIC, a research park owned by Kawasaki City for open innovations in micro/nanotechnology. Dr. Nomura joined IBM in 2017 after receiving her MS from Keio University. Her major in university was solid-state physics with a focus on spintronics. Since she joined IBM, she has been working on a next-generation analog AI hardware accelerator for deep neural networks and spiking neural networks. The accelerator enables in-memory operation by utilizing new synaptic-element devices and circuit technologies. She has presented the results of her research at renowned international conferences, and she has also published her work in journals. She is enjoying working with global IBM researchers to come up with new concepts for AI hardware circuits. In 2023, she got her Ph.D. from Keio University while working at IBM.

Professional Activities

• 電子情報通信学会(IEICE) 編集委員 (working group D) 2019年 - 2021年. 2020年 - 2021年の期間は、working group Eのリエゾンを兼任.
• ICONIP 2019 PC member
• 応用物理学会(JSAP) 機関誌企画・編集委員会委員 2022年 - 2024年. 外部記者 2024年 - 現在.
• NEDO「材料分野の技術課題検討に資する調査」技術課題検討委員会（AI技術）委員
• Frontiers in Neuroscience Review Editor for Neuromorphic Engineering, 2023 -

Lecture

• 野村 晶代, "今半導体が熱い！半導体研究の最前線", 理工学概論, 慶應義塾大学, 2024年5月22日 (特別講師として).

Award

• IEEJ Excellent Presentation Award 2019

Blog

• Women in systems research transforming AI hardware

External Publications and Presentations (No peer review)

• 野村 晶代 図書紹介 "Python, TensorFlowで実践する深層学習入門 しくみの理解と応用", 応用物理 vol. 93, no. 1, p. 51 (2024).
• 野村 晶代, "働きながら博士号取得を目指す 二足のわらじで研究生活", 応用物理 vol. 92, no. 8, pp. 482-484 (2023).
• 野村 晶代 図書紹介 "リザバーコンピューティング 時系列パターン認識のための高速機械学習の理論とハードウェア",The journal of the IEICE, Vol.104 No.11 p.1205 (2021).
• [Invited] A. Nomura, "Investigation of Device Variation Impact and Complement Method for PCM-based Neuromorphic Computing", MEMRISYS 2021, 4th International Conference on Memristive Materials, Devices & Systems, Nov., 2021.
• [Invited] A. Nomura and S. Takeda, "Paradigm shift driven by AI chip and AI-based material discovery in IoT era", 化学工学会 SCEJ (Society of Chemical Engineers, Japan) 51st Autumn Meeting, Sep. 26, 2020.
• 石井 正俊・野村 晶代, "AIを支えるハードウェアプラットフォームの現状と研究動向", まぐね Vol.14, No.6 (2019).
• A. Nomura et al., "Investigation of Device Variation Impact and Complement Method for PCM-based Spiking Neural Network Chip", IEEJ, Sep., 2019.
• A. Nomura, "Advanced technologies of brain-inspired devices and AI-based material discovery for IoT era", SEMICON Japan 2017, Dec. 13, 2017.

External Publications and Presentations (Peer review)

For recent peer-reviewed papers, please also refer to the publications tab.

• Masatoshi Ishii, Megumi Ito, Wanki Kim, SangBum Kim, Akiyo Nomura, Atsuya Okazaki, Junka Okazawa, Kohji Hosokawa, Matt BrightSky, Wilfried Haensch, "Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model", 26th International Conference on Neural Information Processing, pp. 591-599, Sydney, Australia (2019).
• Megumi Ito, Malte Rasch, Masatoshi Ishii, Atsuya Okazaki, Sangbum Kim, Junka Okazawa, Akiyo Nomura, Kohji Hosokawa, Wilfried Haensch, "Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation", 26th International Conference on Neural Information Processing, pp. 185-194, Sydney, Australia (2019).
• Akiyo Nomura, Megumi Ito, Atsuya Okazaki, Masatoshi Ishii, Sangbum Kim, Junka Okazawa, Kohji Hosokawa, Wilfried Haensch, "NVM weight variation impact on analog spiking neural network chip", 25th International Conference on Neural Information Processing, pp. 676-685, Siem Reap, Cambodia (2018).
• Akiyo Nomura, Nariaki Nasaka, Takaharu Tashiro, Takao Sasagawa, Kazuya Ando, "Absorption of diffusive spin current in surface and bulk states of a topological insulator", Phys.Rev.B, Vol.96, No. 214440, pp. 1-5 (2017).
• Hiroyasu Nakayama, Hongyu An, Akiyo Nomura, Yusuke Kanno, Satoshi Haku, Yusaku Kuwahara, Hiroto Sakimura, Kazuya Ando, "Temperature dependence of Rashba-Edelstein magnetoresistance in Bi/Ag/CoFeB trilayer structures", Appl.Phys.Lett., Vol. 110, No. 222406, pp. 1-5 (2017).
• Hongyu An, Hiroyasu Nakayama, Yusuke Kanno, Akiyo Nomura, Satoshi Haku, Kazuya Ando, "Spin-orbit torques in asymmetric Pt/Co/Pt structures", Phys.Rev.B, Vol. 94, No. 214417, pp. 1-6 (2016).
• Hiroyasu Nakayama, Yusuke Kanno, Hongyu An, Takaharu Tashiro, Satoshi Haku, Akiyo Nomura, Kazuya Ando, "Rashba-Edelstein Magnetoresistance in Metallic Heterostructures", Phys.Rev.Lett., Vol.117, No.116602, pp. 1-6, (2016).
• Takaharu Tashiro, Saki Matsuura, Akiyo Nomura, Shun Watanabe, Keehoon Kang, Henning Sirringhaus, Kazuya Ando, "Spin-current emission governed by nonlinear spin dynamics, Scientific Reports", Vol.5, No.15158, pp. 1-9 (2015).
• Akiyo Nomura, Takaharu Tashiro, Hiroyasu Nakayama, Kazuya Ando, "Temperature dependence of inverse Rashba-Edelstein effect at metallic interface", Appl.Phys.Lett., Vol.106, No.212403, pp. 1-4 (2015).