Targeted Ads Come with Unavoidable Privacy Trade-Offs, UMD Study Finds
Researchers show how targeting and performance data can combine to reveal sensitive information.
Study Sharpens the Search for Quantum Computing's "Magic"
QuICS Fellow Nicole Yunger Halpern collaborates on research identifying which quantum states can deliver a true computational advantage.
When AI Writes for You, Can It Still Sound Like You?
UMD’s Connor Baumler finds that editing AI-generated text may not erase its stylistic fingerprints.
Can AI See the Next Flood Coming? UMD Team Aims to Transform Water Forecasting
The DOE-funded project will combine generative AI and Earth system modeling to deliver faster, more detailed forecasts for floods, droughts and water resources.
CLIP Researchers Receive AIM Seed Grant to Study the Roots of AI Bias
An interdisciplinary UMD team will investigate why AI falls into human-like reasoning traps—and how to make it more reliable.
TRAILS Awards More Than $515K for Trustworthy AI Research
The fourth round of seed funding supports multidisciplinary teams tackling one of AI's biggest challenges: earning public trust.
UMIACS Researchers Join Federal Initiative to Speed AI-Powered Discovery
Five faculty members are contributing to two projects selected for the U.S. Department of Energy's competitive Genesis Mission.
Advancing Practical Privacy for Machine Learning
UMD doctoral student Yvonne Zhou is advancing privacy-preserving AI with a new framework developed in partnership with J.P. Morgan.
Making Complex Math as Easy as Asking a Question
With AIM seed funding, Haizhao Yang is building an AI platform to make advanced math optimization as simple as a voice command.
Scientists Find Hidden Individuality in Viral Infections
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.