The funding supports a team of education and computing experts focused on developing an analytical tool to improve post-high school outcomes for students with disabilities.
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.
Celebrating a decade of innovative research and scholarship by the Joint Center for Quantum Information and Computer Science (QuICS), a partnership between the University of Maryland and the National Institute of Standards and Technology.
