The researchers have cracked a mathematical quandary that has stumped scientists for more than 35 years. The resulting 126-page proof and algorithm could help tech companies create more efficient computer and AI chips.

Hal Daumé III and Katie Shilton were part of a group that won for their technology that can teach students in any discipline about AI and information literacy.

Daniel Abadi and Amol Deshpande were each part of a research group recognized for their seminal work in advancing data stream systems.

Researchers active in the institute are involved in almost half of the 22 University of Maryland seed grant projects announced on May 28.

The funding is a result of the Presidential Early Career Award for Scientists and Engineers (PECASE).

Soheil Feizi and Furong Huang are collaborating to make AI-driven large language models more consistent, adaptable and secure in high-stakes environments.

In a first of its kind study, they uncovered crucial factors underlying vulnerabilities of web AI agents, highlighting the need for enhanced security measures.