The fourth round of seed funding supports multidisciplinary teams tackling one of AI's biggest challenges: earning public trust.

Graduate students spotlight the path from microbiome discovery to real-world impact.

Their findings could be applied to future studies of gut health, including conditions like jaundice and inflammatory bowel disease.

They were recently recognized for their innovative work in developing a low-powered acoustic sensing system for miniature robots.

UMD doctoral student Yvonne Zhou is advancing privacy-preserving AI with a new framework developed in partnership with J.P. Morgan.

To help improve our environment, Phillip Pope is developing machine learning methods to accelerate chemical simulations, with the goal of discovering new materials to reduce the reliance on fossil fuels.

A UMD team is being recognized for the lasting impact of their research on collision-avoidance technology.

UMIACS researchers came up with an innovative project to satisfy their appetite for advancing computer vision systems based in machine learning.

The MC2 papers at IEEE S&P cover timely topics that have important real-world implications for improving security and privacy in a wide range of contexts.