iDrive shuttle
I-STREET testbed deploys the internet of things for traffic research
Hero image for Explore Summer '21 feature story, "Trusting Tech"
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.
An updated training reactor offers new opportunities in nuclear engineering
Counterfeit items
Counterfeit construction materials are flooding the U.S. market
Flannery
UF scholar Mark Flannery is Securities and Exchange Commission’s new chief economist
Clyde Fraisse
UF associate professor uses app to talk climate change with farmers
temperature sensor model
The internet of things could make the office sweater obsolete