I-STREET testbed deploys the internet of things for traffic research
Not so long ago, a scientist might say she could never have too much data. Even today, in a world drowning in data, it is better to be data-rich than data-poor.
As scientific voids go, it would be hard just now to find a more pressing question: How do the aerosols...
An updated training reactor offers new opportunities in nuclear engineering
UF associate professor uses app to talk climate change with farmers
UF astronomy Professor Rafael Guzmán has spent his life looking up at the stars, but it took just one question...
A visibly nervous man is stopped at a border crossing in eastern Europe. Authorities find a glass tube filled with...
The Sid Martin Biotechnology Incubator celebrates two decades of nurturing young companies
When the United Nations, the American Academy of Pediatrics or The Wall Street Journal need insight on sharenting — the term coined...
Harnessing the power of predictive science
UF/IFAS researchers may have found a key to converting algae to fuel
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.