New UMD research suggests organizations should cap cybersecurity spending at 37% of potential breach costs.
The award recognizes her significant contributions to sensing forensics and analytics.
UMD researchers will analyze everyday conversations for signs of trust—and distrust—in AI.
Katie Shilton studies how tech-worker parents are preparing their children for an AI-transformed workplace.
UMD researchers combine clever hardware with lightweight AI to catch fleeting wireless threats while drawing microscopic power.
Two Ph.D. graduates of UMD’s CLIP Lab built a dataset spanning more than 9,000 U.S. cities and counties.
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.
