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

被引：0
|
作者：
Bohan Yang [1 ,2 ]
Jia Chen [1 ,3 ]
Fengbin Tu [1 ,3 ]
机构：
[1] Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology
[2] School of the Gifted Young, University of Science and Technology of China
[3] AI Chip Center for Emerging Smart Systems, The Hong Kong University of Science and Technology
来源：
Journal of Semiconductors | 2024年 / 04期
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Compared to the last decade when the convolution neural network (CNN) dominated the research field, machine learning (ML) algorithms have reached a pivotal moment called the generative artificial intelligence (AI) era. With the emergence of large-scale foundation models[1],
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页码：19 / 23
页数：5
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