At the University of Virginia, AI research is advancing rapidly across schools and disciplines. This collection of recent news stories highlights how UVA researchers are using AI to generate new knowledge, inform policy and practice, and address complex challenges across fields.
With his new album, “After the Fire,” associate professor of hip hop A.D. Carson explores what it means to be a human performer at a time when AI and other technological tools can rival the creations of live artists.
Ferdinando Fioretto, a UVA Engineering computer science professor and researcher, will lead a project as part of the U.S. Department of Energy’s Genesis Mission.
From smartphone apps to hospital patient records, personal data are collected throughout daily life. These data can help organizations build better artificial intelligence systems, improve healthcare and inform public policy. […]
Deloitte-funded research opportunities are giving UVA BSDS students experience tackling real problems, from healthcare to street safety to 3D generative models.
Research scientist Danielle Waterfield believes AI, when used appropriately, might help lighten the often-overwhelming workload of special education teachers.
A $20,000 Google grant will help UVA’s Chirag Agarwal test whether AI agents’ explanations can be trusted to catch dangerous behavior.
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UVA School of Medicine scientists have identified a widespread source of error in a popular method for studying the genome — our genetic instructions — and created a machine-learning tool to […]
Darden experts are exploring the balancing act between AI’s promise and perils through research on how AI systems promote human flourishing — and squash it.
UVA researchers introduce SNIFF, a practical framework to help scientists evaluate research software, improving reproducibility, security, and trust in science.
Hannah Bako is an Assistant Professor at UVA’s School of Data Science, where she studies how people create and make sense of data through charts, graphics, and interactive visuals with the goal of making data more understandable for everyone.
With artificial intelligence being adopted rapidly by healthcare organizations around the country, a UVA Health doctor and colleague at Clemson University have developed a framework to ensure that the technology is implemented in a way that ensures patient care remains the top priority.
UVA researchers develop a method to eliminate a longstanding source of error in high-resolution precipitation models.
