Oral presentation

[9a-Z28-1~11] FS.1 Focused Session "AI Electronics"

Wed. Sep 9, 2020 9:00 AM - 12:30 PM Z28

△：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 - 9:30 AM

[9a-Z28-1] [INVITED] Innovative AI Processor with Spintronics Technology

〇Tetsuo Endoh^1,2 (1.Tohoku Univ., 2.PSI)

9:30 AM - 10:00 AM

[9a-Z28-2] [INVITED] Via-switch FPGA for Energy-Efficient AI Computing

〇Masanori Hashimoto¹ (1.Osaka Univ.)

10:00 AM - 10:15 AM

[9a-Z28-3] Nonlinearity of synapse devices towards ultralow power of analog neuron circuits

〇Takao Marukame¹, Junichi Sugino², Toshimitsu Kitamura², Koji Takahashi², Yutaka Tamura², Koichi Mizushima¹, Kumiko Nomura¹, Yoshifumi Nishi¹ (1.Toshiba RDC, 2.Toshiba Inf. Sys. (Japan))

10:15 AM - 10:30 AM

△ [9a-Z28-4] Resistive switching and synaptic properties of amorphous GaO_x memristive devices

〇Mamoru Joko¹, Taishi Ikeuchi¹, Yusuke Hayashi¹, Tetsuya Tohei¹, Akira Sakai¹ (1.Osaka Univ.)

10:30 AM - 10:45 AM

△ [9a-Z28-5] Implementation of STP/LTP based on 2D control of oxygen vacancy distribution in 4-terminal planar TiO_2-x memristive device

〇Kenta Adachi¹, Akira Sakai¹, Tetsuya Tohei¹, Yusuke Hayashi¹, Ryotaro Miyake¹ (1.Osaka Univ.)

11:00 AM - 11:15 AM

△ [9a-Z28-6] Development of polymer synaptic device for the creation of wetware

〇Naruki Hagiwara¹, Tetsuya Asai², Yuji Kuwahara¹, Megumi Akai-Kasaya^1,2 (1.Osaka Univ., 2.Hokkaido Univ.)

11:15 AM - 11:30 AM

[9a-Z28-7] Selection of Experimental Parameters for Resistance Control of Nanogaps Using Bayesian Optimization

〇Ryoya Koyama¹, Riku Kiyokawa¹, Kenta Watanabe¹, Mamiko Yagi², Mitsuki Ito³, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech., 2.NIT, Ichinoseki College, 3.NIT, Kushiro College)

11:30 AM - 11:45 AM

[9a-Z28-8] Tuning of Cost Function for Optimized Control of Au Atomic Junctions with Ising Spin Computing

〇Hiroki Sakanishi¹, Moe Shimada¹, Tsukasa Miki¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

11:45 AM - 12:00 PM

△ [9a-Z28-9] Deep learning-like information processing based on an optimal control of dynamical systems

〇Genki Furuhata¹, Satoshi Sunada^1,2, Tomoaki Niiyama¹ (1.Kanazawa Univ., 2.JST PRESTO)

12:00 PM - 12:15 PM

△ [9a-Z28-10] Influence of Delay in an Analog Electronic Amoeba on Solution-Searching Performance

〇Kenta Saito¹, Seiya Kasai¹, Masashi Aono^2,3 (1.Hokkaido Univ., 2.Amoeba Energy Co., Ltd., 3.Keio Univ.)

12:15 PM - 12:30 PM

△ [9a-Z28-11] Ground State Searches with Ising Spin Models Using Hybrid-Type Spin Decision Logics

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

Oral presentation

[9p-Z28-1~19] FS.1 Focused Session "AI Electronics"

Wed. Sep 9, 2020 1:30 PM - 7:00 PM Z28

Tetsuya Asai(Hokkaido Univ.), Nakajima Mitsumasa(NTT)

△：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 - 2:00 PM

[9p-Z28-1] [INVITED] Physical reservoir computing chip and complex-valued neural networks framework to realize ultra low power consumption information processing

〇Akira Hirose¹, Ryosho Nakane¹, Gouhei Tanaka¹ (1.The Univ. of Tokyo)

2:00 PM - 2:15 PM

[9p-Z28-2] Short-term memory capacity of spintronics reservoir with feedback circuit

Terufumi Yamaguchi¹, Nozomi Akashi², Sumito Tsunegi¹, Hitoshi Kubota¹, Kohei Nakajima², 〇Tomohiro Taniguchi¹ (1.AIST, 2.Univ. Tokyo)

2:15 PM - 2:30 PM

△ [9p-Z28-3] Nonlinearity and memory capacity in electro-optic delay-based reservoir computing

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

2:30 PM - 2:45 PM

[9p-Z28-4] Parallel computing based on photonic spatiotemporal dynamics

〇Satoshi Sunada^1,2, Kazutaka Kanno³, Atsushi Uchida³ (1.Kanazawa Univ., 2.JST PRESTO, 3.Saitama Univ.)

2:45 PM - 3:00 PM

[9p-Z28-5] Versality of Schubert polynomial series generated via optical near fields of photochromic nanocrystal

〇Hirotsugu Suzui¹, Nicolas Chauvet¹, Kazuharu Uchiyama², Kingo Uchida³, Hirokazu Hori², Makoto Naruse¹ (1.Univ. Tokyo, 2.Univ. Yamanashi, 3.Ryukoku Univ.)

3:00 PM - 3:15 PM

△ [9p-Z28-6] Architectures of photonic deep reservoir computing using a semiconductor laser with optical feedback and injection

〇Hiroshi Hasegawa¹, Kazutaka Kanno¹, Atsushi Uchida¹ (1.Saitama Univ.)

3:15 PM - 3:30 PM

△ [9p-Z28-7] Examination of impact of operating voltage on performance of reservoir computing using FeFETs

〇Eishin Nako¹, Kasidit Toprasertpong¹, Zeyu Wang¹, Ryosho Nakane¹, Yuto Miyatake¹, Mitsuru Takenaka¹, Shinichi Takagi¹ (1.Univ. Tokyo)

3:30 PM - 3:45 PM

[9p-Z28-8] Effect of Input Mask Signal on Reservoir Computing Based on Electromigrated Au Nanogaps toward Time Series Prediction

〇Riku Kiyokawa¹, Ryoya Koyama¹, Kenta Watanabe¹, Mamiko Yagi², Mitsuki Ito³, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech., 2.Ichinoseki College, 3.Kushiro College)

3:45 PM - 4:00 PM

[9p-Z28-9] [Highlight]Physical reservoir fabrication by various materials

〇Hirofumi Tanaka^1,2, Kotooka Takumi¹, Banerjee Deep¹, Hadiyawarnam T.^1,2, Azhari Saman^1,2, Usami Yuki^1,2 (1.LSSE, Kyushu Inst. Tech., 2.Neumorph Center, Kyushu Inst. Tech.)

4:00 PM - 4:15 PM

[9p-Z28-10] Effect of Experimental Parameters on Dynamics of Reservoir Computing Using Electromigrated Au Nanogaps

〇Kenta Watanabe¹, Riku Kiyokawa¹, Ryoya Koyama¹, Mamiko Yagi², Mitsuki Ito³, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech., 2.NIT, Ichinoseki College, 3.NIT, Kushiro College)

4:15 PM - 4:30 PM

▼ [9p-Z28-11] Availability of nonlinear response of materials using in the construction of simple reservoir computing

〇Shaohua Kan¹, Kohei Nakajima², Tetsuya Asai³, Megumi Akai-Kasaya³ (1.Osaka Univ., 2.The Univ. of Tokyo, 3.Hokkaido Univ.)

4:45 PM - 5:15 PM

[9p-Z28-12] [The 42nd JSAP Paper Award Speech] Divergence of relative difference in Gaussian distribution function and stochastic resonance in a bistable system with frictionless state transition

〇Seiya Kasai¹ (1.Hokkaido Univ.)

5:15 PM - 5:30 PM

[9p-Z28-13] Continuous Representation of Neural Network by Schrödinger Equation

〇Mitsumasa Nakajima¹, Kenji Tanaka¹, Toshikazu Hashimoto¹ (1.NTT Device Technology Labs.)

5:30 PM - 5:45 PM

[9p-Z28-14] Computational Behavior of 2D Ising Spin Computing with Simulated Quantum Annealing (SQA)

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

5:45 PM - 6:00 PM

[9p-Z28-15] Ising Spin Model with Digital Logic Gates Embedded with Quadratic Unconstrained Binary Optimization

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

6:00 PM - 6:15 PM

[9p-Z28-16] Efficient Walking of an Amoeba-inspired Autonomous Walking Robot Using Stochastic Gradient Ascent

〇Shu Onuma¹, Kenta Saito¹, Seiya Kasai¹, Masashi Aono^2,3 (1.RCIQE, Hokkaido Univ., 2.Amoeba Energy, 3.Keio Univ.)

6:15 PM - 6:30 PM

[9p-Z28-17] Neuromorphic Systems using Local Autonomous Learning Rule
- Application of Local Learning Rule to Backpropagation -

〇Mutsumi Kimura^1,2, Yasuhiko Nakashima² (1.Ryukoku Univ., 2.NAIST)

6:30 PM - 6:45 PM

[9p-Z28-18] Q-Learning based on Chaotic Laser Time Series

〇(M1)Takashi Urushibara¹, Nicolas Chauvet¹, Satoshi Kochi², Satoshi Sunada², Kazutaka Kanno³, Atsushi Uchida³, Makoto Naruse¹ (1.Tokyo Univ., 2.Kanazawa Univ., 3.Saitama Univ.)

6:45 PM - 7:00 PM

[9p-Z28-19] Real-Time Prediction of Quantized Conductance in Au Nanowire Using Time-Series Prediction Model

〇Daichi Saeki¹, Moe Shimada¹, Tsukasa Miki¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

Sessions

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

[9a-Z28-1~11] FS.1 Focused Session "AI Electronics"

[9a-Z28-1] [INVITED] Innovative AI Processor with Spintronics Technology

[9a-Z28-2] [INVITED] Via-switch FPGA for Energy-Efficient AI Computing

[9a-Z28-3] Nonlinearity of synapse devices towards ultralow power of analog neuron circuits

△ [9a-Z28-4] Resistive switching and synaptic properties of amorphous GaO_x memristive devices

△ [9a-Z28-5] Implementation of STP/LTP based on 2D control of oxygen vacancy distribution in 4-terminal planar TiO_2-x memristive device

△ [9a-Z28-6] Development of polymer synaptic device for the creation of wetware

[9a-Z28-7] Selection of Experimental Parameters for Resistance Control of Nanogaps Using Bayesian Optimization

[9a-Z28-8] Tuning of Cost Function for Optimized Control of Au Atomic Junctions with Ising Spin Computing

△ [9a-Z28-9] Deep learning-like information processing based on an optimal control of dynamical systems

△ [9a-Z28-10] Influence of Delay in an Analog Electronic Amoeba on Solution-Searching Performance

△ [9a-Z28-11] Ground State Searches with Ising Spin Models Using Hybrid-Type Spin Decision Logics

[9p-Z28-1~19] FS.1 Focused Session "AI Electronics"

[9p-Z28-1] [INVITED] Physical reservoir computing chip and complex-valued neural networks framework to realize ultra low power consumption information processing

[9p-Z28-2] Short-term memory capacity of spintronics reservoir with feedback circuit

△ [9p-Z28-3] Nonlinearity and memory capacity in electro-optic delay-based reservoir computing

[9p-Z28-4] Parallel computing based on photonic spatiotemporal dynamics

[9p-Z28-5] Versality of Schubert polynomial series generated via optical near fields of photochromic nanocrystal

△ [9p-Z28-6] Architectures of photonic deep reservoir computing using a semiconductor laser with optical feedback and injection

△ [9p-Z28-7] Examination of impact of operating voltage on performance of reservoir computing using FeFETs

[9p-Z28-8] Effect of Input Mask Signal on Reservoir Computing Based on Electromigrated Au Nanogaps toward Time Series Prediction

[9p-Z28-9] [Highlight]Physical reservoir fabrication by various materials

[9p-Z28-10] Effect of Experimental Parameters on Dynamics of Reservoir Computing Using Electromigrated Au Nanogaps

▼ [9p-Z28-11] Availability of nonlinear response of materials using in the construction of simple reservoir computing

[9p-Z28-12] [The 42nd JSAP Paper Award Speech] Divergence of relative difference in Gaussian distribution function and stochastic resonance in a bistable system with frictionless state transition

[9p-Z28-13] Continuous Representation of Neural Network by Schrödinger Equation

[9p-Z28-14] Computational Behavior of 2D Ising Spin Computing with Simulated Quantum Annealing (SQA)

[9p-Z28-15] Ising Spin Model with Digital Logic Gates Embedded with Quadratic Unconstrained Binary Optimization

[9p-Z28-16] Efficient Walking of an Amoeba-inspired Autonomous Walking Robot Using Stochastic Gradient Ascent

[9p-Z28-17] Neuromorphic Systems using Local Autonomous Learning Rule
- Application of Local Learning Rule to Backpropagation -

[9p-Z28-18] Q-Learning based on Chaotic Laser Time Series

[9p-Z28-19] Real-Time Prediction of Quantized Conductance in Au Nanowire Using Time-Series Prediction Model

Authenticate

Sessions

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

[9a-Z28-1~11] FS.1 Focused Session "AI Electronics"

△ [9a-Z28-4] Resistive switching and synaptic properties of amorphous GaOx memristive devices

△ [9a-Z28-5] Implementation of STP/LTP based on 2D control of oxygen vacancy distribution in 4-terminal planar TiO2-x memristive device

△ [9a-Z28-6] Development of polymer synaptic device for the creation of wetware

△ [9a-Z28-9] Deep learning-like information processing based on an optimal control of dynamical systems

△ [9a-Z28-10] Influence of Delay in an Analog Electronic Amoeba on Solution-Searching Performance

△ [9a-Z28-11] Ground State Searches with Ising Spin Models Using Hybrid-Type Spin Decision Logics

[9p-Z28-1~19] FS.1 Focused Session "AI Electronics"

△ [9p-Z28-3] Nonlinearity and memory capacity in electro-optic delay-based reservoir computing

△ [9p-Z28-6] Architectures of photonic deep reservoir computing using a semiconductor laser with optical feedback and injection

△ [9p-Z28-7] Examination of impact of operating voltage on performance of reservoir computing using FeFETs

▼ [9p-Z28-11] Availability of nonlinear response of materials using in the construction of simple reservoir computing

Authenticate

△ [9a-Z28-4] Resistive switching and synaptic properties of amorphous GaO_x memristive devices

△ [9a-Z28-5] Implementation of STP/LTP based on 2D control of oxygen vacancy distribution in 4-terminal planar TiO_2-x memristive device