The five-year award expected to total $37.5M supports the institute’s next phase of research, education and workforce development.
Researchers show how targeting and performance data can combine to reveal sensitive information.
QuICS Fellow Nicole Yunger Halpern collaborates on research identifying which quantum states can deliver a true computational advantage.
UMD’s Connor Baumler finds that editing AI-generated text may not erase its stylistic fingerprints.
The DOE-funded project will combine generative AI and Earth system modeling to deliver faster, more detailed forecasts for floods, droughts and water resources.
An interdisciplinary UMD team will investigate why AI falls into human-like reasoning traps—and how to make it more reliable.
The fourth round of seed funding supports multidisciplinary teams tackling one of AI's biggest challenges: earning public trust.
Five faculty members are contributing to two projects selected for the U.S. Department of Energy's competitive Genesis Mission.
UMD doctoral student Yvonne Zhou is advancing privacy-preserving AI with a new framework developed in partnership with J.P. Morgan.
With AIM seed funding, Haizhao Yang is building an AI platform to make advanced math optimization as simple as a voice command.
