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

Bohan Yang; Jia Chen; Fengbin Tu

doi:10.1088/1674-4926/45/4/040204

Journal of Semiconductors, Volume. 45, Issue 4, 040204(2024)

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

Bohan Yang^1,3, Jia Chen^1,2, and Fengbin Tu^1,2、*

¹Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China

²AI Chip Center for Emerging Smart Systems, The Hong Kong University of Science and Technology, Hong Kong, China

³School of the Gifted Young, University of Science and Technology of China, Hefei 230026, China

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Fig. 1. (Color online) New trends on ISSCC 2024 machine learning accelerators.

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Bohan Yang, Jia Chen, Fengbin Tu. Towards efficient generative AI and beyond-AI computing: New trends on ISSCC 2024 machine learning accelerators[J]. Journal of Semiconductors, 2024, 45(4): 040204

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Paper Information

Category: Articles

Received: Mar. 8, 2024

Accepted: --

Published Online: Jun. 21, 2024

The Author Email: Tu Fengbin (FBTu)

DOI:10.1088/1674-4926/45/4/040204

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