Oral presentation

[20a-M206-1~10] FS.1 Focused Session "AI Electronics"

Tue. Sep 20, 2022 9:00 AM - 12:00 PM M206 (Multimedia Research Hall)

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

+Add all to schedule

9:00 AM - 9:30 AM

[20a-M206-1] [INVITED] Unconventional Computing with Spintronics

〇Shunsuke Fukami¹ (1.Tohoku Univ.)

9:30 AM - 9:45 AM

[20a-M206-2] Associative memory operation using spin torque oscillator

〇Sumito Tsunegi^1,2, Tomohiro Taniguchi¹, Kay Yakushiji¹, Shinji Yuasa¹, Hitoshi Kubota¹ (1.AIST, 2.JST-PRESTO)

9:45 AM - 10:00 AM

[20a-M206-3] FeFET Voltage-sensing CiM for Fast Hyperdimensional Computing

〇Chihiro Matsui¹, Eitaro Kobayashi¹, Kasidit Toprasertpong¹, Shinichi Takagi¹, Ken Takeuchi¹ (1.Univ. Tokyo)

10:00 AM - 10:15 AM

[20a-M206-4] Small-area CiM for Event-based Vision Sensor Co-optimized by ReRAM device & SNN Algorithm

〇Shunsuke Koshino¹, Naoko Misawa¹, Chihiro Matsui¹, Ken Takeuchi¹ (1.Univ. Tokyo)

10:30 AM - 10:45 AM

▼ [20a-M206-5] Folded-in-time deep neural networks: Emulating deep neural networks via delay dynamics

〇(P)Andre Roehm^1,2, Florian Stelzer^3,4, Raul Vicente³, Ingo Fischer², Serhiy Yanchuk⁴, Satoshi Sunada⁵, Tomoaki Niiyama⁵, Ryoichi Horisaki¹, Makoto Naruse¹ (1.Univ. of Tokyo, 2.IFISC, CSIC-UIB, 3.Univ. of Tartu, 4.TU Berlin, 5.Kanazawa Univ.)

10:45 AM - 11:00 AM

△ [20a-M206-6] Edge Retraining of FeFET CiM for Device Reliability Error Compensation

〇Shinsei Yoshikiyo¹, Naoko Misawa¹, Kasidit Toprasertpong¹, Shinichi Takagi¹, Chihiro Matsui¹, Ken Takeuchi¹ (1.Univ. Tokyo)

11:00 AM - 11:15 AM

[20a-M206-7] Class-incremental Learning with Knowledge Distillation for Edge Device Computation-in-Memory (CiM)

〇Shinsei Yoshikiyo¹, Naoko Misawa¹, Chihiro Matsui¹, Ken Takeuchi¹ (1.Univ. Tokyo)

11:15 AM - 11:30 AM

△ [20a-M206-8] Non-uniformly Quantized Computation-in-Memory (CiM) using Non-volatile Memory for Quantum Error Correction

〇(M1)Yuya Ichikawa¹, Akira Goda¹, Chihiro Matsui¹, Ken Takeuchi¹ (1.Univ. Tokyo)

11:30 AM - 11:45 AM

[20a-M206-9] Bit error evaluation on non-volatile main memory system with probability distribution of the write-error rate

〇Hiroko Arai¹, Daiki Saito², Yukinori Sato², Takahiro Hirofuchi³, Hiroshi Imamura¹ (1.AIST RCECT, 2.Toyohashi Univ. Tech., 3.AIST DigiARC)

11:45 AM - 12:00 PM

△ [20a-M206-10] Tunnel Conductance Modeling of Spintronics Devices Based on Temperature Dynamics

〇(D)Yushi Kikuchi¹, Yoshihiko Horio¹, Shunsuke Fukami^1,2, Hiroyasu Ando² (1.RIEC, Tohoku Univ., 2.AIMR, Tohoku Univ.)

Oral presentation

[21a-C201-1~11] FS.1 Focused Session "AI Electronics"

Wed. Sep 21, 2022 9:00 AM - 12:00 PM C201 (C201)

Tsuyoshi Hasegawa(Waseda Univ.), Takao Marukame(Toshiba)

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

+Add all to schedule

9:00 AM - 9:15 AM

[21a-C201-1] Analysis on learning in neural network with stochastic binary/ternary synapses

〇Takao Marukame¹, Kumiko Nomura¹, Koichi Mizushima¹, Yoshifumi Nishi¹ (1.Toshiba RDC)

9:15 AM - 9:30 AM

[21a-C201-2] Investigation on Non-Ideality of Non-Volatile Memory Array Elements in Neural Network Inference with Computation-in-Memory

〇Kazuhide Higuchi¹, Chihiro Matsui¹, Ken Takeuchi¹ (1.Univ. of Tokyo)

9:30 AM - 9:45 AM

[21a-C201-3] Real-Time Prediction System of Quantized Conductance of Au Atomic Junctions Using Echo State Network

〇Yuki Shimada¹, Moe Shimada¹, Tsukasa Miki¹, Kanako Hirai¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Arg. & Tech.)

9:45 AM - 10:00 AM

[21a-C201-4] Prediction for Quantized Conductance of Au Nanowires Using Echo State Network Based on Variational Mode Decomposition

〇Yuki Shimada¹, Tsukasa Miki¹, Moe Shimada¹, Daiki Hagiwara¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Arg. & Tech.)

10:00 AM - 10:15 AM

[21a-C201-5] Stable analog resistance change of a Ag-ion controlled molecular-gap atomic switch with a reduced switching area

〇Naonari Tanimoto¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

10:30 AM - 10:45 AM

[21a-C201-6] 【Highlighted Presentation】4-bit factorization Circuit Composed of the Superconducting Flux Qubits for the Quantum Annealing

〇Daisuke Saida^1,2, Mutsuo Hidaka¹, Fuminori Hirayama¹, Yuki Yamanashi³ (1.AIST, 2.Fujitsu, 3.YNU)

10:45 AM - 11:00 AM

[21a-C201-7] Performance Evaluation of Reinforcement Learning a Model Based on Reservoir Computing Considering Nonlinear Write Characteristics of Analog Memory

〇(M2)Katsunori Tamai¹, Hakaru Tamukoh^1,2, Yuichi Katori³, Osamu Nomura^1,2, Takashi Morie^1,2 (1.Kyushu Inst. Tech., 2.Neumorph Center, 3.Future Univ. Hakodate.)

11:00 AM - 11:15 AM

[21a-C201-8] Evaluation of conductive behavior of synaptic polymer device in saline

〇Seiya Watanabe¹, Naruki Hagiwara², Hiroaki Shibakita³, Megumi Akai^1,2 (1.Osaka Univ., 2.Hokkaido Univ., 3.Osaka Univ.)

11:15 AM - 11:30 AM

[21a-C201-9] Reduction of Bounceback Rule for Electronic Amoeba Solving Satisfiability Problem

〇Yoko Shigematsu¹, Seiya Kasai¹ (1.RCIQE, Hokkaido Univ.)

11:30 AM - 11:45 AM

[21a-C201-10] ReRAM-based Computation-in-Memory Design for Specific Domain of Combinatorial Optimization Problems

〇Naoko Misawa¹, Chihiro Matsui¹, Ken Takeuchi¹ (1.Univ. of Tokyo)

11:45 AM - 12:00 PM

▲ [21a-C201-11] A Simple Nonbistable Architecture for Realizing Ising Machine with Stochastic Resonance Phenomenon

〇Zhiqiang Liao¹, Kaijie Ma¹, Siyi Tang¹, Hiroyasu Yamahara¹, Munetoshi Seki¹, Hitoshi Tabata¹ (1.Univ. of Tokyo)

Poster presentation

[21p-P13-1~6] FS.1 Focused Session "AI Electronics"

Wed. Sep 21, 2022 1:30 PM - 3:30 PM P13 (Arena)

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

+Add all to schedule

1:30 PM - 3:30 PM

[21p-P13-1] Fabrication of Molecular-gap Atomic Switches with Reduced Filament Formation Area

〇Haruki Ishijima¹, Naonari Tanimoto¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

1:30 PM - 3:30 PM

[21p-P13-2] Quantized conductance in a NiO-based ReRAM made in a crossbar structure

〇(M1)Riku Takagi¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

1:30 PM - 3:30 PM

[21p-P13-3] Deep learning using PTCDI-Ag₂S based molecular-gap atomic switches

〇(M1)Risa Matsuo¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

1:30 PM - 3:30 PM

[21p-P13-4] Role of a molecular layer in a molecular-gap type atomic switch

〇(B)Atsuhiro Mizuno¹, Yuki Ohno¹, Misaki Kan¹, Masaru Hayakawa¹, Kaiki Yoshimura¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

1:30 PM - 3:30 PM

[21p-P13-5] Simulation for diffractive deep neural network

〇(M2)Takuro Akaike¹, Takumi Fujita¹, Sakaguchi Hotaka¹, Hirofumi Nonaka², Satoshi Sumi³, Hiroyuki Awano³, Takayuki Ishibashi¹ (1.Nagaoka Univ. Tech., 2.Aichi Inst. Tech., 3.Toyota Tech. Inst.)

1:30 PM - 3:30 PM

[21p-P13-6] Simulation of an Atomic Switch Network Reservoir Operation
Including an Effect of the Limited Speed of Filament Growth

〇(M1)Yusuke Murase¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

Oral presentation

[22a-B101-1~11] FS.1 Focused Session "AI Electronics"

Thu. Sep 22, 2022 9:00 AM - 12:00 PM B101 (B101)

Kenichi Kawaguchi(Fujitsu Limited)

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

+Add all to schedule

9:00 AM - 9:15 AM

[22a-B101-1] An application of hybrid quantum classical neural network to quantum chemistry

〇Yasutaka Nishida¹, Fumihiko Aiga¹ (1.Toshiba Corp)

9:15 AM - 9:30 AM

[22a-B101-2] Information Processing Capacity and Influence of Observables in Hybrid Quantum-Classical Reservoir Computing

〇Daiki Hagiwara¹, Tsukasa Miki¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

9:30 AM - 9:45 AM

[22a-B101-3] Real-Time Tracking Control Using Quantum Annealer

〇Kanako Hirai¹, Moe Shimada¹, Asaki Yoshida¹, Yuri Yoneda¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

9:45 AM - 10:00 AM

[22a-B101-4] Spin Decision Logic and Annealing Methods in Quantum Inspired Ising Machines

〇Moe Shimada¹, Asaki Yoshida¹, Tsukasa Miki¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

10:00 AM - 10:15 AM

[22a-B101-5] Optimization of Sparsity Scheduling for Ising Spin Computing Using Extraction-Type Majority Voting Logic

〇Asaki Yoshida¹, Tsukasa Miki¹, Moe Shimada¹, Yuri Yoneda¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

10:30 AM - 10:45 AM

△ [22a-B101-6] Acceleration of Quantum State Reconstruction by Computational Basis Filter for Variational Quantum Algorithms

〇Tsukasa Miki¹, Daisuke Tsukayama¹, Ryo Okita¹, Jun-ichi Shirakashi¹, Hiroshi Imai² (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)

10:45 AM - 11:00 AM

△ [22a-B101-7] Temporal Information Processing Capacity of Quantum Noies-Induced Reservoir

〇Tomoyuki Kubota¹, Yudai Suzuki², Shumpei Kobayashi¹, Quoc Hoan Tran¹, Naoki Yamamoto², Kohei Nakajima¹ (1.The Univ. of Tokyo, 2.Keio Univ.)

11:00 AM - 11:15 AM

△ [22a-B101-8] High speed object recognition system using photonic reservoir computing and
high speckle projection system

〇(M1)Tomoya Yamaguchi¹, Kohei Arai¹, Tomoaki Niiyama², Satoshi Sunada^2,3 (1.Kanazawa Univ., 2.Kanazawa Univ. S and E, 3.JST PRESTO)

11:15 AM - 11:30 AM

△ [22a-B101-9] Transfer learning based on photonic reservoir computing using a semiconductor laser with optical feedback

〇Rie Sakamaki¹, Kazutaka Kanno¹, Masanobu Inubushi², Atsushi Uchida¹ (1.Saitama Univ., 2.Tokyo Univ. of Science)

11:30 AM - 11:45 AM

△ [22a-B101-10] Replication of nonlinear dynamics using reservoir computing with a semiconductor laser

〇Atsuya Kawakami¹, Kazutaka Kanno¹, Atsushi Uchida¹ (1.Saitama Univ.)

11:45 AM - 12:00 PM

△ [22a-B101-11] Experimental implementation on physical deep learning using opto-electronic delay system based on optimal control

〇Rin Nogami¹, Kazutaka Kanno¹, Satoshi Sunada², Atsushi Uchida¹ (1.Saitama Univ., 2.Kanazawa Univ)

Oral presentation

[23a-M206-1~10] FS.1 Focused Session "AI Electronics"

Fri. Sep 23, 2022 9:00 AM - 12:00 PM M206 (Multimedia Research Hall)

Norio Sato(NTT)

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

+Add all to schedule

9:00 AM - 9:30 AM

[23a-M206-1] [INVITED] Photonic neural field dynamics: ultrafast reservoir computing and sensing

〇Satoshi Sunada^1,2 (1.Kanazawa Univ., 2.JST PRESTO)

9:30 AM - 9:45 AM

[23a-M206-2] Magneto-Optical Diffractive Deep Neural Network

〇(M2)Takumi Fujita¹, Hotaka Sakaguchi¹, Jian Zhang¹, Hirofumi Nonaka², Satoshi Sumi³, Hiroyuki Awano³, Takayuki Ishibashi¹ (1.Nagaoka Univ. Tech., 2.Aichi Inst. Tech., 3.Toyota Tech. Inst.)

9:45 AM - 10:00 AM

[23a-M206-3] Fabrication and evaluation of hidden layers for physical implementation of Magneto-Optical Deffractive Deep Neural Networks

〇Hotaka Sakaguchi¹, Takumi Fujita¹, Jian Zhang¹, Satoshi Sumi², Hiroyuki Awano², Hirofumi Nonaka³, Takayuki Ishibashi¹ (1.Nagaoka Univ. Tech., 2.Toyota Tech. Inst., 3.Aichi Inst. Tech.)

10:00 AM - 10:15 AM

△ [23a-M206-4] Asymmetric collective decision making through quantum interference

〇Honoka Shiratori¹, Hiroaki Shinkawa¹, Andre Rohm¹, Nicolas Chauvet¹, Guillaume Bachelier², Jonathan Laurent², Takatomo Mihana¹, Ryoishi Horisaki¹, Makoto Naruse¹ (1.Univ. Tokyo, 2.Univ. Grenoble Alpes)

10:30 AM - 10:45 AM

△ [23a-M206-5] Experimental demonstration of delay-bounded optical communication based on precision time synchronization

〇(M1)Tsuguo Hattori¹, Nobuyasu Shiga², Satoshi Yasuda², Kenichi Takizawa², Takatomo Mihana¹, Ryoichi Horisaki¹, Makoto Naruse¹ (1.Univ. of Tokyo, 2.NICT)

10:45 AM - 11:00 AM

△ [23a-M206-6] Conflict-free joint sampling for preference satisfaction through quantum interference

〇(M2)Hiroaki Shinkawa¹, Honoka Shiratori¹, Nicolas Chauvet¹, Guillaume Bachelier², Andre Roehm¹, Takatomo Mihana¹, Ryoichi Horisaki¹, Makoto Naruse¹ (1.Univ. Tokyo, 2.Univ. Grenoble Alpes)

11:00 AM - 11:15 AM

△ [23a-M206-7] Non-Volatile Memory & SRAM Hybrid Computation-in-Memory for Reservoir Computing Processing Event Data

〇Shunsuke Koshino¹, Chihiro Matsui¹, Ken Takeuchi¹ (1.Univ. Tokyo)

11:15 AM - 11:30 AM

△ [23a-M206-8] Effect of sampling step in chaotic time series regenerated by reservoir computing

〇(M1)Kohei Tsuchiyama¹, Andre Roehm¹, Takatomo Mihana¹, Ryoichi Horisaki¹, Makoto Naruse¹ (1.Univ. of Tokyo)

11:30 AM - 11:45 AM

[23a-M206-9] Reservoir computing using graphene/diamond photomemristors

Yuga Ito¹, Akiho Nakazuru¹, 〇Kenji Ueda^1,2 (1.Nagoya Univ., 2.Waseda Univ.)

11:45 AM - 12:00 PM

[23a-M206-10] Construction and Evaluation of Physical Reservoir Composed of CNT/Molecular Networks

〇(M2)Kento Igarashi¹, Tetsuya Asai¹, Megumi Akai-Kasaya^1,2 (1.Hokkaido Univ., 2.Osaka Univ.)

Oral presentation

[23p-M206-1~13] FS.1 Focused Session "AI Electronics"

Fri. Sep 23, 2022 1:30 PM - 5:00 PM M206 (Multimedia Research Hall)

Shinichi Takagi(Univ. of Tokyo), Norio Sato(NTT), Yoshihiko Horio(東北大)

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

+Add all to schedule

1:30 PM - 1:45 PM

[23p-M206-1] [Young Scientist Presentation Award Speech] Reservoir computing using ferroelectric MFM capacitors

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

1:45 PM - 2:00 PM

△ [23p-M206-2] Optical skin soft interface based on soft material and machine learning

〇(M1C)Kei Kitagawa¹, Koyo Sagehashi¹, Tomoaki Niiyama², Satoshi Sunada^2,3 (1.Kanazawa Univ., 2.Kanazawa Univ. S and E, 3.JST PRESTO)

2:00 PM - 2:15 PM

△ [23p-M206-3] Experimental Demonstration of Reservoir Computing wth Nonlinear-interfered Spin Waves

〇(P)Wataru Namiki¹, Daiki Nishioka^1,2, Yu Yamaguchi^1,2, Takashi Tsuchiya¹, Tohru Higuchi², Kazuya Terabe¹ (1.NIMS, 2.Tokyo Univ. of Sci.)

2:15 PM - 2:30 PM

[23p-M206-4] A Ag₂S Island Network Reservoir that works with Optical Signal Inputs

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

2:30 PM - 2:45 PM

[23p-M206-5] Frequency Dependence of Operations in an Ag₂S Island Network Reservoir

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

2:45 PM - 3:00 PM

△ [23p-M206-6] Reservoir computing utilising photoresponsive properties of ITO/Nb:SrTiO₃ junctions

〇(M1)Yutaro Yamazaki¹, Hiroyuki Kai¹, Kentaro Kinoshita¹ (1.Tokyo Univ. of Sci.)

3:00 PM - 3:15 PM

△ [23p-M206-7] Improvement of Power Saving and Learning Accuracy in Ionic Liquid-based Physical Reservoir Devices by Dehydration of Ionic Liquid

〇Masaharu Yonezawa^1,2, Shima Hisashi², Matsuo Takuma^1,2, Naitoh Yasuhisa², Akinaga Hiroyuki², Itoh Toshiyuki³, Nokami Toshiki⁴, Kobayashi Masakazu^1,5, Kinoshita Kentaro¹ (1.Tokyo Univ. of Sci., 2.AIST, 3.Toyota Physical & Chemical Research Institute, 4.Tottori Univ., 5.NAGASE & CO., LTD.)

3:30 PM - 3:45 PM

[23p-M206-8] Reservoir Computing Approach for Surface Myoelectric Signal Analysis and Voluntary Motion Readout

〇Takato Yoshida¹, Seiya Kasai¹ (1.RCIQE Hokkaido Univ.)

3:45 PM - 4:00 PM

[23p-M206-9] Data augmentation for classification by electrochemical dynamics reservoir

〇Yuki Usami^1,2, Yuichiro Tanaka^1,2, Takumi Kotooka¹, Hakaru Tamukoh^1,2, Hirofumi Tanaka^1,2 (1.Kyushu Inst. Tech. LSSE, 2.Kyushu Inst. Tech. Neumorph Center)

4:00 PM - 4:15 PM

[23p-M206-10] Optimization of the short-term memory characteristics of ionic liquid physical reservoirs by temperature control

〇Asahi Arai¹, Sang-Gyu Koh¹, Taiki Koide¹, Hiroyuki Kai¹, Kentaro Kinoshita¹ (1.Tokyo Univ of Sci.)

4:15 PM - 4:30 PM

[23p-M206-11] Proposal of FeFET reservoir computing with parallel data processing for speech recognition and experimental examination of the performance

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

4:30 PM - 4:45 PM

[23p-M206-12] Approaches to enhance the performance of FeFET reservoir computing with parallel data processing for speech recognition

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

4:45 PM - 5:00 PM

[23p-M206-13] Physical reservoir computing using multi-terminal carbon nanotube thin film transistors

〇(M1)Takeshi Watanabe¹, Haruki Uchiyama¹, Yutaka Ohno^1,2 (1.Nagoya Univ., 2.IMaSS Nagoya Univ.)

Sessions

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

[20a-M206-1~10] FS.1 Focused Session "AI Electronics"

▼ [20a-M206-5] Folded-in-time deep neural networks: Emulating deep neural networks via delay dynamics

△ [20a-M206-6] Edge Retraining of FeFET CiM for Device Reliability Error Compensation

△ [20a-M206-8] Non-uniformly Quantized Computation-in-Memory (CiM) using Non-volatile Memory for Quantum Error Correction

△ [20a-M206-10] Tunnel Conductance Modeling of Spintronics Devices Based on Temperature Dynamics

[21a-C201-1~11] FS.1 Focused Session "AI Electronics"

▲ [21a-C201-11] A Simple Nonbistable Architecture for Realizing Ising Machine with Stochastic Resonance Phenomenon

[21p-P13-1~6] FS.1 Focused Session "AI Electronics"

[22a-B101-1~11] FS.1 Focused Session "AI Electronics"

△ [22a-B101-6] Acceleration of Quantum State Reconstruction by Computational Basis Filter for Variational Quantum Algorithms

△ [22a-B101-7] Temporal Information Processing Capacity of Quantum Noies-Induced Reservoir

△ [22a-B101-8] High speed object recognition system using photonic reservoir computing andhigh speckle projection system

△ [22a-B101-9] Transfer learning based on photonic reservoir computing using a semiconductor laser with optical feedback

△ [22a-B101-10] Replication of nonlinear dynamics using reservoir computing with a semiconductor laser

△ [22a-B101-11] Experimental implementation on physical deep learning using opto-electronic delay system based on optimal control

[23a-M206-1~10] FS.1 Focused Session "AI Electronics"

△ [23a-M206-4] Asymmetric collective decision making through quantum interference

△ [23a-M206-5] Experimental demonstration of delay-bounded optical communication based on precision time synchronization

△ [23a-M206-6] Conflict-free joint sampling for preference satisfaction through quantum interference

△ [23a-M206-7] Non-Volatile Memory & SRAM Hybrid Computation-in-Memory for Reservoir Computing Processing Event Data

△ [23a-M206-8] Effect of sampling step in chaotic time series regenerated by reservoir computing

[23p-M206-1~13] FS.1 Focused Session "AI Electronics"

△ [23p-M206-2] Optical skin soft interface based on soft material and machine learning

△ [23p-M206-3] Experimental Demonstration of Reservoir Computing wth Nonlinear-interfered Spin Waves

△ [23p-M206-6] Reservoir computing utilising photoresponsive properties of ITO/Nb:SrTiO3 junctions

△ [23p-M206-7] Improvement of Power Saving and Learning Accuracy in Ionic Liquid-based Physical Reservoir Devices by Dehydration of Ionic Liquid

Authenticate

△ [22a-B101-8] High speed object recognition system using photonic reservoir computing and
high speckle projection system

△ [23p-M206-6] Reservoir computing utilising photoresponsive properties of ITO/Nb:SrTiO₃ junctions