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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.

Yizheng Chen has received a $1.7M award to study the efficacy of using AI-infused technology for cyberdefense applications.

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.

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 multi-institutional, open-source project—expected to increase software development productivity by at least tenfold—is supported by a $7M award from the Department of Energy.

Sathvik Nair’s work is supported by a competitive NSF Graduate Research Fellowship.

Supported by a USDA grant, two UMIACS researchers have teamed up to study the corn earworm’s growing resistance to non-chemical pesticides.

UMD information experts are developing novel methods to track down paper documents at the National Archives in College Park.

The three-institution collaborative project aims to develop advanced algorithms that will enable clustering over massive datasets and allow scientists, companies, and government agencies to solve complex problems.

The funding will support 30 students over the next five years as they prepare for careers in cybersecurity.