One Paper Accepted by ASSCC'2025

One paper on efficient embodied AI is accepted by ASSCC'2025 as regular papers. In the paper, we designed and taped out a 28nm 534.6TOPS/W edge accelerator for embodied AI using stochastic computing, which supported mixed precision and sparsity.

Last updated on Nov 6, 2025
Conference
Meng Li
Meng Li
Assistant Professor

I am currently a tenure-track assistant professor jointly affiliated with the Institute for Artificial Intelligence and School of Integrated Circuits in Peking University. My research interests focus on efficient and secure multi-modality AI acceleration algorithms and hardwares.

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