Sanjali Yadav has developed a novel machine learning approach that enables adaptive and intelligent hardware, boosting dataflow efficiency and reducing energy consumption.
Vishkin joins fellow UMD faculty member Yang Tao, a professor in the Fischell Department of Bioengineering, honored by election to the academy this year.
To help improve our environment, Phillip Pope is developing machine learning methods to accelerate chemical simulations, with the goal of discovering new materials to reduce the reliance on fossil fuels.
The researchers made the final cut for their innovative work in developing a scalable distributed training framework called AxoNN, which rapidly trains AI-based large language models on thousands of GPUs.
Mel. Coles brings positive energy and a commitment to excellence in her new role as the institute’s manager of engagement, events and special projects.
