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

[12a-S101-1~9] FS.1 Focused Session "AI Electronics"

Sun. Sep 12, 2021 9:00 AM - 11:30 AM S101 (Oral)

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

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9:00 AM - 9:15 AM

[12a-S101-1] [Young Scientist Presentation Award Speech] Photonic Reservoir Computing Using Low-Power-Consumption SOA

〇Takuma Tsurugaya¹, Tatsurou Hiraki¹, Mitsumasa Nakajima¹, Takuma Aihara¹, Nikolaos-Panteleimon Diamantopoulos¹, Takuro Fujii¹, Toru Segawa¹, Shinji Matsuo¹ (1.NTT Device Technology Labs)

9:15 AM - 9:30 AM

△ [12a-S101-2] Improvement of nonlinearity in ionic liquid reservoir device by using Faradaic current

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

9:30 AM - 9:45 AM

△ [12a-S101-3] Impact of degradation of electrical characteristics of FeFETs on reservoir computing

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

9:45 AM - 10:00 AM

▼ [12a-S101-4] In-materio supervised Boolean logic operation by random network of
single-walled carbon nanotube/porphyrin-polyoxometalate

〇(D)Deep Banerjee¹, Saman Azhari¹, Yuki Usami¹, Hirofumi Tanaka¹ (1.KYUTECH)

10:15 AM - 10:30 AM

▲ [12a-S101-5] Improvement in FeFET-based Reservoir Computing Capabilities by Using an Inverted Signal Scheme

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

10:30 AM - 10:45 AM

△ [12a-S101-6] Performance improvement using random bias signals in electro-optical delay-based reservoir computing

〇Asahi Tsuchida¹, Kento Saito¹, Kazutaka Kanno¹, Atsushi Uchida¹ (1.Saitama Univ)

10:45 AM - 11:00 AM

△ [12a-S101-7] Reservoir Computing on Atomic Switches with Noise

〇(M2)Hiroshi Kubota¹, Tsuyoshi Hasegawa², Megumi Akai-Kasaya¹, Tetsuya Asai¹ (1.Hokkaido Univ., 2.Waseda Univ.)

11:00 AM - 11:15 AM

[12a-S101-8] Wavefront Matching Training for Nonlinear Wave Equation Based Neural Network

〇Mitsumasa Nakajima¹, Toshikazu Hashimoto¹ (1.NTT Device Technology Labs.)

11:15 AM - 11:30 AM

△ [12a-S101-9] Solving N-armed bandit problem with entangled orbital angular momentum.

〇(M1)Hiroaki Shinkawa¹, Nicolas Chauvet¹, Guillaume Bachelier², Serge Huant², Andre Roehm¹, Ryoichi Horisaki¹, Makoto Naruse¹ (1.Univ. Tokyo, 2.Univ. Grenoble Alpes)

Session information

[12a-S101-1~9] FS.1 Focused Session "AI Electronics"

[12a-S101-1] [Young Scientist Presentation Award Speech] Photonic Reservoir Computing Using Low-Power-Consumption SOA

△ [12a-S101-2] Improvement of nonlinearity in ionic liquid reservoir device by using Faradaic current

△ [12a-S101-3] Impact of degradation of electrical characteristics of FeFETs on reservoir computing

▼ [12a-S101-4] In-materio supervised Boolean logic operation by random network of
single-walled carbon nanotube/porphyrin-polyoxometalate

▲ [12a-S101-5] Improvement in FeFET-based Reservoir Computing Capabilities by Using an Inverted Signal Scheme

△ [12a-S101-6] Performance improvement using random bias signals in electro-optical delay-based reservoir computing

△ [12a-S101-7] Reservoir Computing on Atomic Switches with Noise

[12a-S101-8] Wavefront Matching Training for Nonlinear Wave Equation Based Neural Network

△ [12a-S101-9] Solving N-armed bandit problem with entangled orbital angular momentum.

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Session information

[12a-S101-1~9] FS.1 Focused Session "AI Electronics"

[12a-S101-1] [Young Scientist Presentation Award Speech] Photonic Reservoir Computing Using Low-Power-Consumption SOA

△ [12a-S101-2] Improvement of nonlinearity in ionic liquid reservoir device by using Faradaic current

△ [12a-S101-3] Impact of degradation of electrical characteristics of FeFETs on reservoir computing

▼ [12a-S101-4] In-materio supervised Boolean logic operation by random network ofsingle-walled carbon nanotube/porphyrin-polyoxometalate

▲ [12a-S101-5] Improvement in FeFET-based Reservoir Computing Capabilities by Using an Inverted Signal Scheme

△ [12a-S101-6] Performance improvement using random bias signals in electro-optical delay-based reservoir computing

△ [12a-S101-7] Reservoir Computing on Atomic Switches with Noise

[12a-S101-8] Wavefront Matching Training for Nonlinear Wave Equation Based Neural Network

△ [12a-S101-9] Solving N-armed bandit problem with entangled orbital angular momentum.

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▼ [12a-S101-4] In-materio supervised Boolean logic operation by random network of
single-walled carbon nanotube/porphyrin-polyoxometalate