Month: March 2025

Advancements in AI model compression and hardware acceleration are essential for enabling efficient, high-performance deep learning systems. Torch2Chip is a customizable deep neural network compression and deployment toolkit designed to bridge the gap between AI algorithms and prototype hardware accelerators. Developed by Jian Meng, a Ph.D. candidate at Cornell Tech under the guidance of Professor […]

Fusion3D, developed by CoCoSys scholars Sixu Li, Yang (Katie) Zhao, Chaojian Li, Zhifan Ye, and other members of PI Prof. Yingyan (Celine) Lin’s lab at Georgia Tech, presents an end-to-end acceleration framework for real-time 3D intelligence. By accelerating computation and data movement across the algorithm, architecture, and system integration levels, this innovative approach significantly improves […]