[16p-A33-1~16] FS.1 Focused Session "AI Electronics" | The 85th JSAP Autumn Meeting 2024

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Session Details

Oral presentationFS Focused Session "AI Electronics" : FS.1 Focused Session "AI Electronics"

[16p-A33-1~16]FS.1 Focused Session "AI Electronics"

Mon. Sep 16, 2024 1:30 PM - 6:00 PM JST
Mon. Sep 16, 2024 4:30 AM - 9:00 AM UTC

A33 (TOKI MESSE 3F)

Kentaro Kinoshita(Tokyo Univ. of Sci.), Takao Marukame(Hokkaido Univ.)

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1:30 PM - 2:00 PM JST(4:30 AM - 5:00 AM UTC)

[16p-A33-1][INVITED] Low-power IoT with neuromorphic technology

〇Takeaki Yajima¹ (1.Kyushu Univ.)

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2:00 PM - 2:15 PM JST(5:00 AM - 5:15 AM UTC)

[16p-A33-2]Realtime handwriting anomaly detection using an FPGA-based spiking reservoir

〇Hisashi Inoue¹, Hiroto Tamura², Ai Kitoh¹, Xiangyu Chen³, Zolboo Byambadorj³, Takeaki Yajima⁴, Yasushi Hotta⁵, Tetsuya Iizuka³, Gouhei Tanaka^2,6, Isao Inoue¹ (1.AIST, 2.Univ. Tokyo (IRCN), 3.Univ. Tokyo (Dept. Engineering), 4.Kyushu Univ., 5.Univ. Hyogo, 6.Nagoya Inst. Tech.)

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2:15 PM - 2:30 PM JST(5:15 AM - 5:30 AM UTC)

[16p-A33-3]Physical Reservoir Operation Utilizing Polarization Change in a Liquid Crystal

〇Atsuhiro Mizuno¹, Tsuyoshi Hasegawa¹, Shusaku Nagano² (1.Waseda Univ., 2.Rikkyo Univ.)

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2:30 PM - 2:45 PM JST(5:30 AM - 5:45 AM UTC)Highlighted Presentation

[16p-A33-4]Research on object recognition and anomaly detection using Ag₂S reservoir

〇Kaiki Yoshimura¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

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2:45 PM - 3:00 PM JST(5:45 AM - 6:00 AM UTC)

[16p-A33-5]Optical character recognition using three-dimensional silver sulfide physical reservoir

〇Yuki Ohno¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

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3:00 PM - 3:15 PM JST(6:00 AM - 6:15 AM UTC)

[16p-A33-6]Classification of irradiated light patterns using a Cu-doped Ta₂O₅ reservoir

〇Masaru Hayakawa¹, Tsuyoshi Hasegawa¹ (1.Waseda Univ.)

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3:15 PM - 3:30 PM JST(6:15 AM - 6:30 AM UTC)

[16p-A33-7]Physica Reservoir Made of Random Network of Gold Nanoparticles Operated in Liquid Nitrogen Bath

Kaito Kobayashi¹, Yuki Hayashi¹, Hiroshi Shimada¹, 〇Yoshinao Mizugaki¹ (1.Univ. Electro-Comm.)

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3:30 PM - 3:45 PM JST(6:30 AM - 6:45 AM UTC)

[16p-A33-8]Improved performance of the Coulomb-blockade-based gold-nanoparticle reservoirs connected in parallel

〇(M2)Yuki Hayashi¹, Kaito Kobayashi¹, Hiroshi Shimada¹, Yoshinao Mizugaki¹ (1.The Univ. of Electro-Commun.)

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4:00 PM - 4:15 PM JST(7:00 AM - 7:15 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[16p-A33-9]Quantification of Potential Relationship between Output Current Waveforms, Data Dimensionality, and Machine Learning Performance in Ionic Liquid-Based Physical Reservoir Device Demonstrated via PCA

〇Yuki Kubo^1,2, Shunsuke Miyamoto³, Hisashi Shima², Toshiki Nokami³, Yasuhisa Naitoh², Hiroyuki Akinaga², Yumeng Zheng¹, Kentaro Kinoshita¹ (1.Tokyo Univ. of Sci., 2.AIST, 3.Tottori Univ.)

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4:15 PM - 4:30 PM JST(7:15 AM - 7:30 AM UTC)

[16p-A33-10]Origin of Information Processing Performance in Ionic Liquid-based Physical Reservoir Device Revealed by Three-Electrode Micro-Electrochemical Cell

〇Yuki Kubo^1,2, Shunsuke Miyamoto³, Shima Hisashi², Toshiki Nokami³, Yasuhisa Naitoh², Hiroyuki Akinaga², Yumeng Zheng¹, Kentaro Kinoshita¹ (1.Tokyo Univ. of Sci., 2.AIST, 3.Tottori Univ.)

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4:30 PM - 4:45 PM JST(7:30 AM - 7:45 AM UTC)

[16p-A33-11]Operating Current Fluctuation of Ionic Liquid-based Physical Reservoir Device and Robustness for Non-ideal Input Signal

〇Hisashi SHIMA¹, Yuki Kubo^1,2, Shunsuke Miyamoto³, Toshiki Nokami³, Yasuhisa Naitoh¹, Hiroyuki Akinaga¹, Zheng Yumeng², Kentaro Kinoshita² (1.AIST, 2.Tokyo Univ. of Sci., 3.Tottori Univ.)

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4:45 PM - 5:00 PM JST(7:45 AM - 8:00 AM UTC)

[16p-A33-12]Precise-prediction of Chaotic Time-series Data, Achieved with an in situ Manipulaton of Chaotic Interfered Spin Waves

〇Wataru Namiki¹, Daiki Nishioka¹, Yuki Nomura², Kazuo Yamamoto², Kazuya Terabe¹, Takashi Tsuchiya¹ (1.NIMS, 2.JFCC)

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5:00 PM - 5:15 PM JST(8:00 AM - 8:15 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[16p-A33-13]High-Precision Prediction of Chaotic Time Series Achieved by Reservoir Computing Utilizing Interfered Spin Wave

〇(B)Sota Hikasa^1,2, Wataru Namiki¹, Daiki Nishioka¹, Tohru Higuchi², Kazuya Terabe¹, Takashi Tsuchiya^1,2 (1.NIMS, 2.Tokyo Univ. of Sci)

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5:15 PM - 5:30 PM JST(8:15 AM - 8:30 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[16p-A33-14]Development of an ultra-fast operating ion-gating reservoir based on the electrical double layer effect at the graphene/ion-gel interface.

〇Daiki Nishioka¹, Hina Kitano^1,2, Wataru Namiki¹, Kazuya Terabe¹, Takashi Tsuchiya¹ (1.NIMS, 2.Tokyo Univ. Sci.)

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5:30 PM - 5:45 PM JST(8:30 AM - 8:45 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[16p-A33-15]Physical Reservoir Computing by All-solid-state Electric Double Layer Transistor with Graphene Channel

〇(M2)Hina Kitano^1,2, Nishioka Daiki¹, Namiki Wataru¹, Kazuya Terabe¹, Takashi Tsuchiya¹ (1.NIMS, 2.Tokyo Univ. Sci.)

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5:45 PM - 6:00 PM JST(8:45 AM - 9:00 AM UTC)

[16p-A33-16]Recognition of hand-written digits using graphene/diamond reservoirs

Haruki Iwane¹, 〇Kenji Ueda¹ (1.Waseda Univ.)

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Session Details

[16p-A33-1~16]FS.1 Focused Session "AI Electronics"

[16p-A33-1][INVITED] Low-power IoT with neuromorphic technology

[16p-A33-2]Realtime handwriting anomaly detection using an FPGA-based spiking reservoir

[16p-A33-3]Physical Reservoir Operation Utilizing Polarization Change in a Liquid Crystal

[16p-A33-4]Research on object recognition and anomaly detection using Ag2S reservoir

[16p-A33-5]Optical character recognition using three-dimensional silver sulfide physical reservoir

[16p-A33-6]Classification of irradiated light patterns using a Cu-doped Ta2O5 reservoir

[16p-A33-7]Physica Reservoir Made of Random Network of Gold Nanoparticles Operated in Liquid Nitrogen Bath

[16p-A33-8]Improved performance of the Coulomb-blockade-based gold-nanoparticle reservoirs connected in parallel

[16p-A33-9]Quantification of Potential Relationship between Output Current Waveforms, Data Dimensionality, and Machine Learning Performance in Ionic Liquid-Based Physical Reservoir Device Demonstrated via PCA

[16p-A33-10]Origin of Information Processing Performance in Ionic Liquid-based Physical Reservoir Device Revealed by Three-Electrode Micro-Electrochemical Cell

[16p-A33-11]Operating Current Fluctuation of Ionic Liquid-based Physical Reservoir Device and Robustness for Non-ideal Input Signal

[16p-A33-12]Precise-prediction of Chaotic Time-series Data, Achieved with an in situ Manipulaton of Chaotic Interfered Spin Waves

[16p-A33-13]High-Precision Prediction of Chaotic Time Series Achieved by Reservoir Computing Utilizing Interfered Spin Wave

[16p-A33-14]Development of an ultra-fast operating ion-gating reservoir based on the electrical double layer effect at the graphene/ion-gel interface.

[16p-A33-15]Physical Reservoir Computing by All-solid-state Electric Double Layer Transistor with Graphene Channel

[16p-A33-16]Recognition of hand-written digits using graphene/diamond reservoirs

[16p-A33-4]Research on object recognition and anomaly detection using Ag₂S reservoir

[16p-A33-6]Classification of irradiated light patterns using a Cu-doped Ta₂O₅ reservoir