From Algorithm to Module: Adaptive and Energy-Efficient Quantization Method for Edge Artificial Intelligence in IoT Society-Reference-Cited by-同舟云学术

From Algorithm to Module: Adaptive and Energy-Efficient Quantization Method for Edge Artificial Intelligence in IoT Society

Published:2022 Issue: Volume: Page:1-13
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Li Tao¹^ORCID,Ma Yitao²^ORCID,Endoh Tetsuo²

Affiliation:

1. School of Engineering, Tohoku University, Sendai, Miyagi, Japan

2. School of Engineering, Center for Innovative Integrated Electronic Systems (CIES), Research Institute of Electrical Communication (RIEC), and Center for Science and Innovation in Spintronics (CSIS), Tohoku University, Sendai, Miyagi, Japan

Funder

JSPS KAKENHI

New Energy and Industrial Technology Development Organization (NEDO): Leading Research for Discovering R&D Issues

Strategic Innovation Program for Energy Conservation Technologies

Center for Innovative Integrated Electronic Systems (CIES) consortium

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/4389054/09954620.pdf?arnumber=9954620

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