News

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.

A new study reveals major cell-to-cell differences in how viruses infect and destroy host cells—with key implications for ecology, evolution and biotechnology.

Three UMIACS researchers took on leadership and speaking roles at international conferences spanning AI, computational biology and microbiome research.

UMD researchers uncovered hidden flaws in software that powers popular AI systems.

Faculty, students and a postdoctoral researcher will contribute talks, posters and a keynote address.