Rchr
J-GLOBAL ID:201501000618448998
Update date: Sep. 10, 2024 Ma Yitao
マ エキトウ | Ma Yitao
Affiliation and department: Job title:
Assistant Professor
Research field (2):
Electric/electronic material engineering
, Electrical power engineering
Research keywords (6):
Spintronics
, Nonvolatile Logic
, Nonvolatile Memory
, Neuromorphic Processor
, Low-Power VLSI
, Electronics and Electrical Engineering
Research theme for competitive and other funds (1): - 2019 - 2022 Reseach on p-MTJ-Based Ultra-Low-Power Nonvolatile Neuromorphic Circuit Architecture
Papers (48): -
Tao Li, Yitao Ma, Ko Yoshikawa, Tetsuo Endoh. Erratum: Hybrid Signed Convolution Module With Unsigned Divide-and-Conquer Multiplier for Energy-Efficient STT-MRAM-Based AI Accelerator (IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2023) DOI: 10.1109/TVLSI.2023.3245099). IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 2023. 31. 6. 906
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Tao Li, Yitao Ma, Tetsuo Endoh. Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3. Neural Computing and Applications. 2023. 35. 15. 11013-11041
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Tao Li, Li Zhang, Yitao Ma, Tetsuo Endoh. Bridging Artificial Intelligence and Devices: Power Reduction Method of Non-volatile Devices with Error-resilient Deep Neural Networks. IEEE Transactions on Magnetics. 2023. 1-1
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Tao Li, Yitao Ma, Ko Yoshikawa, Tetsuo Endoh. Hybrid Signed Convolution Module With Unsigned Divide-and-Conquer Multiplier for Energy-Efficient STT-MRAM-Based AI Accelerator. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 2023. 1-5
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Tao Li, Yitao Ma, Tetsuo Endoh. From Algorithm to Module: Adaptive and Energy-Efficient Quantization Method for Edge Artificial Intelligence in IoT Society. IEEE Transactions on Industrial Informatics. 2022. 1-13
more... MISC (3): -
遠藤 哲郎. 不揮発性メモリで、電力のイノベーションを起こす. Top Researchers. 2017
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遠藤 哲郎. AI/IoT時代を支える基軸新デバイスを創出 CIESは社会実装を見据えた新局面に突入. 日経テクノロジーオンライン. 2017
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Yitao Ma, Tetsuo Endoh. A Neuron Circuit Based on Spintronic Device: Novel Approach of Brain-Inspired VLSIs for Next-Generation Artificial Intelligence. Tohoku University Research News of Engineering. 2014
Education (3): - - 2011 The University of Tokyo Graduate School, Division of Engineering 電子情報工学専攻
- - 2008 The University of Tokyo Graduate School, Division of Engineering 電子工学専攻
- - 2006 Osaka University Faculty of Engineering
Professional career (1): - (PhD)(工学) (The University of Tokyo)
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