Oral presentation

[14a-A301-1~11] 31.1 Focused Session "AI Electronics"

Sat. Mar 14, 2020 9:15 AM - 12:15 PM A301 (6-301)

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

+Add all to schedule

9:15 AM - 9:30 AM

△ [14a-A301-1] Evaluation of photonic reservoir computing in a semiconductor laser with optical feedback modulation

〇Afeeqah Amalina Haya¹, Kazutaka Kanno¹, Atsushi Uchida¹ (1.Saitama University)

9:30 AM - 9:45 AM

△ [14a-A301-2] Analysis of Reservoir Computing with Dynamic Mode Decomposition

〇(M2)Keisuke Miyamura¹, Satoshi Sunada^1,2, Tomoaki Niiyama¹ (1.Kanazawa Univ., 2.JST PRESTO)

9:45 AM - 10:00 AM

△ [14a-A301-3] [Highlight]Examination of impact of ferroelectricity on reservoir computing using FeFETs

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

10:00 AM - 10:15 AM

△ [14a-A301-4] Demonstration of reservoir computing using polyoxometalate solution

〇Yuki Takeshima¹, Shaohua Kan¹, Yuji Kuwahara¹, Kohei Nakajima³, Tetsuya Asai², Megumi Akai^1,2 (1.Osaka Univ., 2.Hokkaido Univ., 3.Tokyo Univ.)

10:15 AM - 10:30 AM

[14a-A301-5] Node update methods for magnetic dot array reservoir

〇Hikaru Nomura^1,2, Kazuki Tsujimoto¹, Yuki Kuwabiraki¹, Minori Gotoh^1,2, Ryoichi Nakatani¹, Yoshishige Suzuki^1,2 (1.Osaka Univ., 2.CSRN-Osaka)

10:45 AM - 11:00 AM

△ [14a-A301-6] Short-Term Memory and Nonlinear Dynamics of Reservoir Computing Using Electromigrated Au Nanogaps

〇Keita Sakai¹, Riku Kiyokawa¹, Ryoya Koyama¹, Mamiko Yagi², Mitsuki Ito³, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech., 2.NIT, Ichinoseki College, 3.NIT, Kushiro College)

11:00 AM - 11:15 AM

[14a-A301-7] Time Series Prediction by Reservoir Computing Using Electromigrated Au Nanogaps

〇Riku Kiyokawa¹, Keita Sakai¹, Ryoya Koyama¹, Mamiko Yagi², Mitsuki Ito³, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech., 2.NIT, Ichinoseki College, 3.NIT, Kushiro College)

11:15 AM - 11:30 AM

△ [14a-A301-8] We constructed a mathematical model of molecular gap atomic switches and implemented it in HSPICE. Differential equations, in which the state of silver ion in electrode and silver atom between the electrodes are set as variables, are defined. The bistable ON and OFF states, are expressed by a double well potential. Simulated results reproduce the experimental switching characteristic very well.

〇(B)Hiroshi Kubota¹, Tsuyoshi Hasegawa², Megumi Akai¹, Tetsuya Asai¹ (1.Hokkaido Univ., 2.Waseda Univ.)

11:30 AM - 11:45 AM

△ [14a-A301-9] Implementation of Pavlovian conditioning in 4-terminal planar TiO_2-x memristive devices

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

11:45 AM - 12:00 PM

△ [14a-A301-10] Solution Search Performance on an Amoeba Electronic Computing System for the Traveling Salesman Problem

〇Kenta Saito¹, Seiya Kasai¹, Masashi Aono² (1.Hokkaido Univ., 2.Keio Univ.)

12:00 PM - 12:15 PM

△ [14a-A301-11] Reducing the energy consumption of memory devices inspired by all-solid-state Li batteries

〇Yuki Watanabe¹, Shigeru Kobayashi¹, Ryota Shimizu^1,2, Kazunori Nishio¹, Ryo Nakayama¹, Yuki Takeda¹, Wei Liu³, Satoshi Watanabe³, Taro Hitosugi¹ (1.Tokyo Tech, 2.JST-PRESTO, 3.UTokyo)

Oral presentation

[14p-A301-1~13] 31.1 Focused Session "AI Electronics"

Sat. Mar 14, 2020 1:45 PM - 5:15 PM A301 (6-301)

Akira Sakai(Osaka Univ.), Tetsuya Asai(Hokkaido Univ.)

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

+Add all to schedule

1:45 PM - 2:00 PM

[14p-A301-1] Research on Deep Learning using Atomic Switches

〇Yuta Iwakiri¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

2:00 PM - 2:15 PM

[14p-A301-2] Research on secular change in the operation of Ag/Ta₂O₅/Pt gapless atomic switches

〇Sayaka Kanetake¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

2:15 PM - 2:30 PM

[14p-A301-3] Diffusion barrier height and its effect on the operation of a Ag/Ta₂O₅/Pt gapless-type atomic switch

〇Maiko Mikami¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

2:30 PM - 2:45 PM

[14p-A301-4] Control of Tunnel Resistance of Au Nanogaps Using Bayesian Optimization

〇Ryoya Koyama¹, Keita Sakai¹, Riku Kiyokawa¹, Mamiko Yagi², Mitsuki Ito³, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech., 2.NIT, Ichinoseki College, 3.NIT, Kushiro College)

2:45 PM - 3:00 PM

[14p-A301-5] Search of Multi-Parameters Using Bayesian Optimization for Control of Quantized Conductance of Au Atomic Junctions

〇Takuya Sakurai¹, Yosuke Hirata¹, Moe Shimada¹, Daichi Saeki¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

3:00 PM - 3:15 PM

[14p-A301-6] Impact of electrical field noise on micropatterned neuronal networks

〇Takuma Sumi¹, Hideaki Yamamoto¹, Kei Wakimura¹, Shigeo Sato¹, Ayumi Hirano-Iwata^1,2 (1.RIEC, Tohoku Univ., 2.AIMR, Tohoku Univ.)

3:15 PM - 3:30 PM

[14p-A301-7] Application of Neuromorphic Using PN Body-Tied SOI-FET

〇Takayuki Mori¹, Jiro Ida¹, Hiroki Endo¹, Toru Sasaki¹ (1.Kanazawa Inst. of Tech.)

3:45 PM - 4:00 PM

[14p-A301-8] Study of synaptic weight update rule toward online learning in neuromorphic hardware

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

4:00 PM - 4:15 PM

[14p-A301-9] Dynamical deep learning: Embedding deep learning functions in dynamical systems

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

4:15 PM - 4:30 PM

[14p-A301-10] Prediction of Quantized Conductance during Feedback-Controlled Electromigration (FCE) Using Recurrent Neural Network

〇Daichi Saeki¹, Yuki Kushitani¹, Takuya Sakurai¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

4:30 PM - 4:45 PM

[14p-A301-11] Ising Spin Computing Using QUBO with High-Resolution Bit Connection for Graph Coloring Problems

〇Tsukasa Miki¹, Moe Shimada¹, Yosuke Hirata¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

4:45 PM - 5:00 PM

[14p-A301-12] Investigation of Cost Functions for Optimizing Experimental Parameters Using Ising Spin Computing

〇Hiroki Sakanishi¹, Yosuke Hirata¹, Moe Shimada¹, Tsukasa Miki¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

5:00 PM - 5:15 PM

[14p-A301-13] 2D Ising Spin Computing with Simulated Quantum Annealing (SQA) for Traveling Salesman Problems

〇Moe Shimada¹, Tsukasa Miki¹, Yosuke Hirata¹, Jun-ichi Shirakashi¹ (1.Tokyo Univ. Agr. & Tech.)

Sessions

Focused Session "AI Electronics" » 31.1 Focused Session "AI Electronics"

[14a-A301-1~11] 31.1 Focused Session "AI Electronics"

△ [14a-A301-1] Evaluation of photonic reservoir computing in a semiconductor laser with optical feedback modulation

△ [14a-A301-2] Analysis of Reservoir Computing with Dynamic Mode Decomposition

△ [14a-A301-3] [Highlight]Examination of impact of ferroelectricity on reservoir computing using FeFETs

△ [14a-A301-4] Demonstration of reservoir computing using polyoxometalate solution

[14a-A301-5] Node update methods for magnetic dot array reservoir

△ [14a-A301-6] Short-Term Memory and Nonlinear Dynamics of Reservoir Computing Using Electromigrated Au Nanogaps

[14a-A301-7] Time Series Prediction by Reservoir Computing Using Electromigrated Au Nanogaps

△ [14a-A301-9] Implementation of Pavlovian conditioning in 4-terminal planar TiO_2-x memristive devices

△ [14a-A301-10] Solution Search Performance on an Amoeba Electronic Computing System for the Traveling Salesman Problem

△ [14a-A301-11] Reducing the energy consumption of memory devices inspired by all-solid-state Li batteries

[14p-A301-1~13] 31.1 Focused Session "AI Electronics"

[14p-A301-1] Research on Deep Learning using Atomic Switches

[14p-A301-2] Research on secular change in the operation of Ag/Ta₂O₅/Pt gapless atomic switches

[14p-A301-3] Diffusion barrier height and its effect on the operation of a Ag/Ta₂O₅/Pt gapless-type atomic switch

[14p-A301-4] Control of Tunnel Resistance of Au Nanogaps Using Bayesian Optimization

[14p-A301-5] Search of Multi-Parameters Using Bayesian Optimization for Control of Quantized Conductance of Au Atomic Junctions

[14p-A301-6] Impact of electrical field noise on micropatterned neuronal networks

[14p-A301-7] Application of Neuromorphic Using PN Body-Tied SOI-FET

[14p-A301-8] Study of synaptic weight update rule toward online learning in neuromorphic hardware

[14p-A301-9] Dynamical deep learning: Embedding deep learning functions in dynamical systems

[14p-A301-10] Prediction of Quantized Conductance during Feedback-Controlled Electromigration (FCE) Using Recurrent Neural Network

[14p-A301-11] Ising Spin Computing Using QUBO with High-Resolution Bit Connection for Graph Coloring Problems

[14p-A301-12] Investigation of Cost Functions for Optimizing Experimental Parameters Using Ising Spin Computing

[14p-A301-13] 2D Ising Spin Computing with Simulated Quantum Annealing (SQA) for Traveling Salesman Problems

Authentication

Sessions

Focused Session "AI Electronics" » 31.1 Focused Session "AI Electronics"

[14a-A301-1~11] 31.1 Focused Session "AI Electronics"

△ [14a-A301-1] Evaluation of photonic reservoir computing in a semiconductor laser with optical feedback modulation

△ [14a-A301-2] Analysis of Reservoir Computing with Dynamic Mode Decomposition

△ [14a-A301-3] [Highlight]Examination of impact of ferroelectricity on reservoir computing using FeFETs

△ [14a-A301-4] Demonstration of reservoir computing using polyoxometalate solution

△ [14a-A301-6] Short-Term Memory and Nonlinear Dynamics of Reservoir Computing Using Electromigrated Au Nanogaps

△ [14a-A301-9] Implementation of Pavlovian conditioning in 4-terminal planar TiO2-x memristive devices

△ [14a-A301-10] Solution Search Performance on an Amoeba Electronic Computing System for the Traveling Salesman Problem

△ [14a-A301-11] Reducing the energy consumption of memory devices inspired by all-solid-state Li batteries

[14p-A301-1~13] 31.1 Focused Session "AI Electronics"

Authentication

△ [14a-A301-9] Implementation of Pavlovian conditioning in 4-terminal planar TiO_2-x memristive devices