Guest Editors' Introduction to the Special Section on Hardware and Algorithms for Energy-Constrained On-chip Machine Learning

Seo Jae-Sun; Cao Yu; Li Xin; Whatmough Paul

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Guest Editors' Introduction to the Special Section on Hardware and Algorithms for Energy-Constrained On-chip Machine Learning

机译：客户编辑对硬件和算法的特殊部分介绍，用于节能的芯片机器学习

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来源
《ACM Journal on Emerging Technologies in Computing Systems》 |2019年第2期|共2页
作者
Seo Jae-Sun; Cao Yu; Li Xin; Whatmough Paul;
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作者单位

Arizona State Univ Sch Elect Comp &

Energy Engn Tempe AZ 85287 USA;

Arizona State Univ Sch Elect Comp &

Energy Engn Tempe AZ 85287 USA;

Duke Univ Elect &

Comp Engn Dept Durham NC 27708 USA;

Arm Res 100 5th Ave Suite 5010 Waltham MA 02451 USA;

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原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
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专利

1. Guest Editors' Introduction to the Special Section on Hardware and Algorithms for Energy-Constrained On-chip Machine Learning [J] . Seo Jae-Sun, Cao Yu, Li Xin, ACM Journal on Emerging Technologies in Computing Systems . 2019,第2期

机译：客户编辑对硬件和算法的特殊部分介绍，用于节能的芯片机器学习
2. Guest Editors' Introduction: Frontiers of Hardware and Algorithms for On-chip Learning [J] . Cao Yu, Li Xin, Seo Jae-Sun, ACM Journal on Emerging Technologies in Computing Systems . 2018,第2期

机译：客户编辑介绍：用于片上学习的硬件和算法前沿
3. Guest Editors' Introduction: Hardware and Algorithms for On-Chip Learning [J] . Cao Yu, Li Xin, Kim Taemin, ACM Journal on Emerging Technologies in Computing Systems . 2017,第3期

机译：客户编辑介绍：用于片上学习的硬件和算法
4. Guest Editors' Foreword Special Section on Aspects, Events, and Modularity [C] . Patrick Eugster, Mario Suedholt, Lukasz Ziarek Transactions on modularity and composition I . 2015

机译：客座编辑的序言部分，关于方面，事件和模块化
5. Optimized Embedded Architectures and Techniques for Machine Learning Algorithms for On-Chip AI Acceleration [D] . Ramadurgam, Srikanth. 2021

机译：用于片上AI加速的机器学习算法优化的嵌入式架构和技术
6. Guest editors’ introduction: special issue ICT in language learning [O] . Yu-Ju Lan, Ting-Chia Hsu -1

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7. Guest Editors' Introduction to the Special Issue on Hardware Security [O] . Amro Awad, Rujia Wang 2020

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Guest Editors' Introduction to the Special Section on Hardware and Algorithms for Energy-Constrained On-chip Machine Learning

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