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

Journals >Journal of Semiconductors >Volume 45 >Issue 4 >Page 040204 > Article

Journal of Semiconductors
Vol. 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、*

Author Affiliations

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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DOI: 10.1088/1674-4926/45/4/040204 Cite this Article

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 Copy Citation Text

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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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