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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS | 2024-11-12 13:05 |
Miyagi | Tohoku University | Performance evaluation of a physical reservoir consisting of analog electronic circuits with real-world temporal data Shimon Matsuno, Yuki Abe, Kota Ando, Tetsuya Asai (Hokkadio Univ.)  CCS2024-43 |
[more] | CCS2024-43 pp.1-6 |
| CCS | 2024-11-12 13:30 |
Miyagi | Tohoku University | Semi-Supervised Learning Algorithms for Online Training of Edge AI Itsuki Akeno, Takao Marukame, Tetsuya Asai (Hokkaido Univ.), Alexandre Schmid (EPFL), Kota Ando (Hokkaido Univ.) CCS2024-44 |
[more] | CCS2024-44 pp.7-12 |
| CCS | 2024-11-12 13:55 |
Miyagi | Tohoku University | Acquisition of physical kinetics of reciprocating machines by reservoir computing Shohei Tatsumi, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2024-45 |
This report focuses on a method for anomaly detection in reciprocating machines by reservoir computing. We propose an al... [more] | CCS2024-45 pp.13-18 |
| CCS | 2024-11-12 15:50 |
Miyagi | Tohoku University | Cost-oriented adaptive concurrency control architecture toward scalable relational database applications Kota Kanno, Takao Marukame, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2024-47 |
There is a demand for high-performance concurrency control suitable for relational databases. Optimistic concurrency con... [more] | CCS2024-47 pp.25-30 |
| SIS, ITE-BCT | 2024-10-03 16:40 |
Hokkaido | Hokusei Gakuen Univ. (Primary: On-site, Secondary: Online) |
[Invited Talk]
Near-data AI Processors and Hardware-Software Co-optimization Kota Ando (Hokkaido Univ.) SIS2024-22 |
Widely spreading AI applications are highly dependent on cloud computing. Specifically, AI applications based on neural ... [more] | SIS2024-22 p.36 |
| IN, CCS (Joint) |
2024-07-30 16:05 |
Hokkaido | Moerenuma Park Glass Pyramid | Prompt-engineering-based methodology for generating diverse conversations and its evaluation Hiiro Yamazaki, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2024-40 |
[more] | CCS2024-40 pp.60-65 |
| CPSY, DC, RECONF, IPSJ-ARC [detail] | 2024-06-12 09:55 |
Yamanashi | Isawa View Hotel (Primary: On-site, Secondary: Online) |
Memory-centric CGRA with variable parallelism for neural networks Atsushi Hori, Fumiya Arai, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CPSY2024-15 DC2024-15 RECONF2024-15 |
(To be available after the conference date) [more] | CPSY2024-15 DC2024-15 RECONF2024-15 pp.79-84 |
| CCS | 2024-03-27 13:00 |
Hokkaido | RUSUTSU RESORT | Training of Encoder-Decoder models and its application towards edge computing Koki Nobori, Hiiro Yamazaki, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-42 |
This study investigates the use of the Encoder-Decoder architecture and its application to generative AI for learning on... [more] | CCS2023-42 pp.18-23 |
| CCS | 2024-03-27 14:00 |
Hokkaido | RUSUTSU RESORT | Evaluation of recurrent neural network training using multi-phase quantization optimizer Hiiro Yamazaki, Itsuki Akeno, Koki Nobori, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2023-44 |
In this research, we apply "Holmes", an optimizer dedicated to edge training of neural networks, to recurrent neural net... [more] | CCS2023-44 pp.30-35 |
| CCS | 2024-03-27 14:25 |
Hokkaido | RUSUTSU RESORT | Multi-task Collaborative Learning Based on Common Bases of Neural Networks Fumiya Arai, Atsushi Hori, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2023-45 |
(To be available after the conference date) [more] | CCS2023-45 pp.36-41 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2023-11-15 15:30 |
Kumamoto | Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
* Itsuki Akeno, Hiro Yamazaki, Tetsuya Asai, Kota Ando (Hokkaido Univ) VLD2023-41 ICD2023-49 DC2023-48 RECONF2023-44 |
We propose a processor architecture for neural network (NN) training in edge and prototype it on an FPGA (Field--Program... [more] | VLD2023-41 ICD2023-49 DC2023-48 RECONF2023-44 pp.64-69 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2023-11-17 14:50 |
Kumamoto | Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
Hardware Compression Method Applying Bernoulli Approximation for Bayesian Neural Networks Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.) VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76 |
This study focuses on efficiently lightweighting Bayesian deep learning algorithms and implementing them on FPGA. It com... [more] | VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76 pp.221-226 |
| CCS | 2023-11-11 13:30 |
Toyama | Toyama Prefectural University | Evaluation of a Small Signal Detection Circuit for Artificial Action Potentials in an Alginate Gel Membrane Soichiro Yamakawa, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-26 |
In recently years, AI has been applied to a wide range of applications, and the concept of having the human brain itself... [more] | CCS2023-26 pp.7-12 |
| RECONF | 2023-08-04 14:30 |
Hokkaido | Hakodate Arena (Primary: On-site, Secondary: Online) |
Pianissimo: A Sub-mW Class DNN Accelerator For Adaptive Inference at Edge Junnosuke Suzuki, Mari Yasunaga, Angel Lopez Garcia-Arias, Yasuyuki Okoshi, Shungo Kumazawa (Tokyo Tech), Kota Ando (Hokkaido Univ.), Kazushi Kawamura, Thiem Van Chu, Masato Motomura (Tokyo Tech) RECONF2023-14 |
(To be available after the conference date) [more] | RECONF2023-14 pp.1-6 |
| CCS, IN (Joint) |
2023-08-03 10:33 |
Hokkaido | Banya-no-yu | A Study of Memory Reduction Methods for Hardware Implementation of Reservoir Computing Sena Kojima, Koki Minagawa, Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-18 |
[more] | CCS2023-18 pp.7-12 |
| CCS | 2023-03-26 10:55 |
Hokkaido | RUSUTSU RESORT | A Stochastic Memory for Ultralow-Power IoT Devices and its Subthreshold CMOS Circuit Implementation Seiya Muramatsu, Kohei Nishida, Kota Ando (Hokkaido Univ.), Megumi Akai-Kasaya (Osaka Univ./Hokkaido Univ.), Tetsuya Asai (Hokkaido Univ.) CCS2022-68 |
We propose a CMOS circuit implementation of a memory circuit for ultralow-power IoT devices based on stochastic computin... [more] | CCS2022-68 pp.31-35 |
| CCS | 2023-03-26 11:15 |
Hokkaido | RUSUTSU RESORT | Hardware Implementation of Predictive Coding Networks based on the Free Energy Principle Naruki Hagiwara, Takafumi Kunimi, Kota Ando (Hokkaido Univ.), Megumi Akai (Hokkaido Univ./Osaka Univ.), Tetsuya Asai (Hokkaido Univ.) CCS2022-69 |
Agents form generative models in the brain through perception and actions for adapting to the external environment. In t... [more] | CCS2022-69 pp.36-41 |
| CCS | 2023-03-26 14:15 |
Hokkaido | RUSUTSU RESORT | A novel optimizer architecture with multi-phase quantization towards online-learning edge AI hardware Itsuki Akeno, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2022-74 |
[more] | CCS2022-74 pp.63-68 |
| ICD, SDM, ITE-IST [detail] | 2022-08-10 14:15 |
Online | [Invited Talk]
Algorithm-architecture co-optimization for edge AI applications Kota Ando (Hokkaido Univ.) |
[more] | ||
| IN, CCS (Joint) |
2022-08-04 16:50 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Edge-side deep neural network processors: quantization, communication, and memories Kota Ando (Hokkaido Univ.) CCS2022-34 |
(To be available after the conference date) [more] | CCS2022-34 p.41 |
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