Jasmine McNealy, University of Florida College of Journalism and Communications Media Production, Management, and Technology Associate Professor and Associate Director of the Marion B. Brechner First Amendment Project, is featured in a video about creating responsible AI.
University of Florida researchers are using artificial intelligence to help citrus growers better forecast their seasonal production. So far, they’ve found in a preliminary study that their technology predicts yields with 98% accuracy.
Karen Hicklin's research is focused on mathematical modeling of stochastic systems with an emphasis on statistical and decision analysis.
Artificial Intelligence (AI) has a color problem. Various studies have demonstrated how African Americans, in particular, are negatively affected by AI-based algorithms.
Faculty across UF CLAS will actively contribute to two key initiatives after receiving funding to advance racial justice and A.I. research.
Juan E. Gilbert has created a ticketing system to help voters maintain social distancing while exercising their right to vote.
Researchers with UF Health announced today that they have collaborated with NVIDIA researchers to create GatorTron.
Parasitic nematodes cause $125 billion in agricultural damage around the world each year, but University of Florida scientists hope to alleviate some of that destruction.
Cutting-edge data collection and analysis combine to sustain Florida’s coastal communities Florida coastal communities need clean water to preserve residential...
While data science experts create algorithms, embed programs and study machine learning, Duncan Purves asks what ethical issues could arise.
UF/IFAS scientists are using AI to help solve chronic diseases, working with UF Health researchers. They’re also using drones to find diseased plants in large fields.
When you can’t trust your own eyes and ears to detect deepfakes, who can you trust? Perhaps, a machine. University of Florida researcher Damon Woodard is using artificial intelligence methods to develop algorithms that can detect deepfakes — images, text, video and audio that purports to be real but isn’t. These algorithms, Woodard says, are better at detecting deepfakes than humans.












