News

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.

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

Twenty-seven undergraduates are spending the summer at UMD applying algorithms to real-world research challenges.

The noted expert in computer vision and machine learning will begin leading the multidisciplinary research institute this fall.

Doctoral student Annika Shankwitz is using AI to better understand how people perceive unfamiliar speech sounds.

Institute-affiliated faculty are leading and contributing to projects tackling pandemics, cancer, infectious diseases and environmental health.

Former members of the Perception and Robotics Group receive two-year awards to support research in AI and machine perception.

Through high-stakes quizbowls, Jordan Boyd-Graber is uncovering what makes human-AI partnerships succeed—and why trust may matter more than intelligence.

Naomi Feldman is bringing together linguists and AI researchers to build language technologies informed by how humans learn and use language.