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FS Focused Session "AI Electronics" » FS.1 Focused Session "AI Electronics"

[23p-E102-1~14] FS.1 Focused Session "AI Electronics"

Wed. Mar 23, 2022 1:30 PM - 5:15 PM E102 (E102)

Hirofumi Tanaka(Kyushu Inst. of Tech.), Seiya Kasai(Hokkaido Univ.)

△：Presentation by Applicant for JSAP Young Scientists Presentation Award
▲：English Presentation
▼：Both of Above
No Mark：None of Above

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1:30 PM - 1:45 PM

[23p-E102-1] Reservoir Computing utilizing spin waves propagating through magnetic domains

〇Ryosho Nakane¹, Akira Hirose¹, Gouhei Tanaka^1,2,3 (1.Eng., Univ. of Tokyo, 2.IRCN, Univ. of Tokyo, 3.Inform., Univ. of Tokyo)

1:45 PM - 2:00 PM

[23p-E102-2] Photonic neural field dynamics and its application to reservoir computing

〇(M1)Kohei Arai¹, Jinsei Hanawa¹, Tomoya Yamaguchi¹, Tomoaki Niiyama¹, Satoshi Sunada^1,2 (1.Kanazawa Univ., 2.JST PRESTO)

2:00 PM - 2:15 PM

[23p-E102-3] Evaluation of Nonlinear Time-series Prediction by Reservoir Computing Using Multi-terminal FeFET

〇Kasidit Toprasertpong¹, Eishin Nako¹, Zeyu Wang¹, Ryosho Nakane¹, Mitsuru Takenaka¹, Shinichi Takagi¹ (1.Univ. Tokyo)

2:15 PM - 2:30 PM

△ [23p-E102-4] Examination of reservoir computing using Ferroelectric MFM capacitors and impact of operation voltage

〇Eishin Nako¹, Kasidit Toprasertpong¹, Zeyu Wang¹, Ryosho Nakane¹, Mitsuru Takenaka¹, Shinichi Takagi¹ (1.Univ. Tokyo)

2:30 PM - 2:45 PM

△ [23p-E102-5] Information processing capacity of a physical reservoir

〇Tomoyuki Kubota¹, Kohei Nakajima¹ (1.The Univ. of Tokyo)

2:45 PM - 3:00 PM

△ [23p-E102-6] Evaluation of information processing performance in 1D1R (1 Diode-1 Reservoir device) structure

〇Takuma Matsuo^1,2, Dan Sato^1,2, Sang-Gyu Koh^1,2, Hisashi Shima², Yasuhisa Naitoh², Hiroyuki Akinaga², Toshiyuki Itoh³, Toshiki Nokami⁴, Masakazu Kobayashi⁵, Kentaro Kinoshita¹ (1.Tokyo Univ. of Science, 2.AIST, 3.Toyota Physical and Chemical Research Institute, 4.Tottori Univ., 5.NAGASE & CO., LTD.)

3:00 PM - 3:15 PM

△ [23p-E102-7] Metal ion species dependence in performance evaluation of ionic liquid reservoir devices

〇Dan Sato^1,2, Takuma Matsuo^1,2, Sang-Gyu Koh^1,2, Hisashi Shima², Yasuhisa Naitoh², Hiroyuki Akinaga², Toshiki Nokami³, Toshiyuki Itoh⁴, Masakazu Kobayashi⁵, Kentaro Kinoshita¹ (1.Tokyo Univ. of Sci., 2.AIST, 3.Tottori Univ., 4.Toyota Physical and Chemical Research Institute, 5.NAGASE & CO., LTD.)

3:15 PM - 3:30 PM

[23p-E102-8] Improving performance by complementary and cooperative learning with ionic liquid reservoirs

〇Asahi Arai¹, Sang-Gyu Koh¹, Taiki Koide¹, Renta Sato¹, Ichiro Ohira¹, Kentaro Kinoshita¹ (1.Tokyo Univ of Sci.)

3:45 PM - 4:00 PM

[23p-E102-9] Frequency Dependence of an Ag₂S Island Network Reservoir

〇Yosuke Shimizu¹, Motoharu Nakazima¹, Kazuki Minegishi¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

4:00 PM - 4:15 PM

[23p-E102-10] Reproducibility Improvement of an Ag₂S Island Network Reservoir for Logic Operation

〇Kazuki Minegishi¹, Motoharu Nakajima¹, Yosuke Shimizu¹, Yuki Usami², Hirofumi Tanaka², Tsuyoshi Hasegawa¹ (1.Waseda Univ., 2.Kyutech.)

4:15 PM - 4:30 PM

[23p-E102-11] Simulation of Atomic Switch-based Reservoir

〇(B)Yusuke Murase¹, Hasegawa Tsuyoshi¹ (1.Waseda Univ.)

4:30 PM - 4:45 PM

[23p-E102-12] Physical Reservoir Computing Using Series-Parallel-Connected Au Nanogaps

〇Yudai Tanaka¹, Tsukasa Miki¹, Moe Shimada¹, Keita Sakai¹, Mamiko Yagi², Mitsuki Ito³, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech., 2.NIT, Ichinoseki College, 3.NIT, Kushiro College)

4:45 PM - 5:00 PM

[23p-E102-13] Physical Deep Learning with Augmented Direct Feedback Alignment and Its Optoelectronic Implementation

〇Mitsumasa Nakajima¹, Katsuma Inoue², Kenji Tanaka, Yasuo Kuniyoshi², Toshikazu Hashimoto¹, Kohei Nakajima² (1.NTT Device Technology Labs., 2.Tokyo Univ.)

5:00 PM - 5:15 PM

[23p-E102-14] Optical skin: Multimodal soft sensing based on machine learning and optical scattering

Sho Shimadera¹, Kei Kitagawa¹, Koyo Sagehashi¹, Tomoaki Niiyama¹, 〇Satoshi Sunada^1,2 (1.Kanazawa Univ., 2.JST PRESTO)

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