首页|期刊导航|半导体学报（英文版）|Towards efficient generative AI and beyond-AI computing:New trends on ISSCC 2024 machine learning accelerators

Towards efficient generative AI and beyond-AI computing:New trends on ISSCC 2024 machine learning accelerators

Bohan Yang Jia Chen Fengbin Tu

半导体学报（英文版）2024，Vol.45Issue(4)：12-15,4.

半导体学报（英文版）2024，Vol.45Issue(4)：12-15,4.DOI:10.1088/1674-4926/45/4/040204

Towards efficient generative AI and beyond-AI computing:New trends on ISSCC 2024 machine learning accelerators

Bohan Yang ¹Jia Chen ²Fengbin Tu²

作者信息

1. Department of Electronic and Computer Engineering,The Hong Kong University of Science and Technology,Hong Kong,China||School of the Gifted Young,University of Science and Technology of China,Hefei 230026,China
2. Department of Electronic and Computer Engineering,The Hong Kong University of Science and Technology,Hong Kong,China||AI Chip Center for Emerging Smart Systems,The Hong Kong University of Science and Technology,Hong Kong,China
折叠

摘要

引用本文复制引用

Bohan Yang,Jia Chen,Fengbin Tu..Towards efficient generative AI and beyond-AI computing:New trends on ISSCC 2024 machine learning accelerators[J].半导体学报（英文版）,2024,45(4):12-15,4.

基金项目

This research was supported in part by ACCESS-AI Chip Center for Emerging Smart Systems,sponsored by InnoHK funding,Hong Kong SAR,and HKUST-HKUST(GZ)20 for 20 Cross-campus Collaborative Research Scheme C031. （GZ）

半导体学报（英文版）

OACSTPCDEI

ISSN：1674-4926

访问量0

下载量0

段落导航