AI University Initiative
Modern society has entered a Fourth Industrial Revolution in which Artificial Intelligence (AI) has catalyzed stunning levels of technological development across virtually all industries. UF’s newest multidisciplinary initiative, the UF AI University Initiative — guided and supported by principal partners like NVIDIA and its co-founder Chris Malachowsky (B.S. UF ECE ’80) — will leverage the exceptional breadth and depth of resources contained within the university’s 16 colleges and serve as a national model for AI research, technological advancement and next-generation workforce training, ranging from K-12 through working professionals.AI University WebsiteAI University
Research & Innovation News
“Everybody is calling it the new electricity,” said Diego Alvarado, M.E., an instructional assistant professor at the Herbert Wertheim College of Engineering. “It’s under the hood of almost everything. We need to be able to understand it.”
The first annual student Internet of Things (IoT) Design Competition recently wrapped up after nearly two months of competition. The national competition, hosted by the University of Florida IoT Students Club, required teams to design, build, and demonstrate the functionality of an IoT edge device to solve a real-world problem.
A multidisciplinary research team that includes Alina Zare, Ph.D., a professor in the Department of Electrical and Computer Engineering, and Daisy Zhe Wang, Ph.D., an associate professor in the Department of Computer and Information Science and Engineering, is developing ways to understand the changes taking place in forests and protect the ecosystem benefits trees offer.
Damon Woodard, Ph.D., an associate professor in the Department of Electrical and Computer Engineering (ECE), is using AI methods to develop algorithms that can detect deepfakes, while Sanjeev Koppal, Ph.D., an assistant professor in ECE, is building cameras that are intelligent about capturing data in order to preserve people's privacy.
Juan Claudio Nino, Ph.D., a professor of Materials Science and Engineering, is collaborating with psychiatry and neuroscience assistant professor Marcelo Febo on a means of using AI to detect the early onset of Alzheimer's disease.