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"28-m W Fully Embedded AI Techniques with On-site Learning for Low-Power ..."

Yuji Yano et al. (2022)

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DOI: 10.1109/VLSI-DAT54769.2022.9768071

access: closed

type: Conference or Workshop Paper

metadata version: 2022-05-23

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  - conf/vlsi-dat/YanoIYNMKTA22
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  - https://dblp.org/rec/conf/vlsi-dat/YanoIYNMKTA22
Yuji Yano, Hisashi Iwamoto, Takuma Yoshimura, Yoshihiro Nishida, Tatsuya Mori, Kiyotaka Komoku, Hidekuni Takao, Kazutami Arimoto:
28-m W Fully Embedded AI Techniques with On-site Learning for Low-Power Handy Tactile Sensing System. VLSI-DAT 2022: 1-4

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