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Committee Date Time Place Paper Title / Authors Abstract Paper #
SDM 2020-01-28
14:00
Tokyo Kikai-Shinko-Kaikan Bldg. [Invited Talk] Performance Maximization of In-Memory Reinforcement Learning with Variability-Controlled Hf1-xZrxO2 Ferroelectric Tunnel Junctions
Kensuke Ota, Marina Yamaguchi (kioxia), Radu Berdan, Takao Marukame, Yoshifumi Nishi (Toshiba), Kazuhiro Matsuo, Kota Takahashi, Yuta Kamiya, Shinji Miyano, Jun Deguchi, Shosuke Fujii, Masumi Saitoh (kioxia) SDM2019-84
We develop strategies to maximize the performance and reliability of in-memory reinforcement learning with Hf1-xZrxO2 fe... [more] SDM2019-84
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