Research Spotlight: “Investigating the Impact of Dzyaloshinskii–Moriya Interaction and Current Pulse Shape on Critical Current Density and Write Energy of SOT-MRAMs”
A team from Georgia Tech, led by PhD student Md Nahid Haque Shazon and advised by Dr. Azad Naeemi, explored how to make SOT-MRAM faster and more energy-efficient. By tuning the Dzyaloshinskii–Moriya interaction and using shaped current pulses—especially descending...
Research Spotlight: Torch2Chip with Jian Meng (Cornell Tech)
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...
Fusion3D: Research Spotlight
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...
Research Spotlight: HISIM with Pragnya Nalla, UM
Pragnya Nalla is a third-year Electrical and Computer Engineering student at the University of Minnesota, Twin Cities, working under the guidance of Prof. Yu (Kevin) Cao on HW/SW co-design for heterogeneous integration. Together with Zhenyu Wang (TSMC) and other...
Research Spotlight: Lifelong Intelligence Beyond the Edge with Xiaofan Yu, UCSD
Xiaofan Yu introduces LifeHD, a system enabling unsupervised lifelong learning directly at the edge. Unlike traditional methods relying on offline data, LifeHD learns continuously from unlabeled streaming data in real time. This approach supports CoCoSys’s goal...
Data4AIGChip with Yongan (Luke) Zhang, Georgia Tech
Data4AIGChip, developed by Yongan (Luke) Zhang at Georgia Tech, leverages advanced AI models and automated data generation to enhance hardware design capabilities, making the process more accessible to developers of varying expertise levels. By fine-tuning large...