The NSF-funded project leverages AI and diverse environmental data to better predict and manage wildfires.

Philip Resnik is part of a new $2.8 million NIH grant that funds an interdisciplinary chatbot project with UMB.

The undergraduate researchers created a system with a built-in verification layer that makes AI-generated answers more reliable for blind and low-vision users.

The researchers will develop programming tools to make non-interactive zero-knowledge proofs easier to use and reason about.

Innovative research by Jacob Lin, Alexey Gorshkov and Victor Albert was published in Physical Review Letters.

Research by former QuICS Hartree Postdoctoral Fellow Qi Zhao and QuICS Fellow Andrew Childs was featured on the cover of the August issue.