UF bridge engineers take advantage of breakthroughs in sensors and materials
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.
Indoor GPS accurate to 5 centimeters
The internet of things could make the office sweater obsolete
Counterfeit construction materials are flooding the U.S. market
A UF team is building and testing mixed-reality simulators for five different medical procedures
Cyber attacks target the most vulnerable
Not every microscope is created equal. The trick is finding the right one, and sometimes that means starting from scratch. ...
Jay Ritter has spent his career tracking the emergence of new public companies
Fab Lab technology allows makers of all sorts to turn their visions into reality
UF researchers have figured out how to turn human waste into rocket fuel
An updated training reactor offers new opportunities in nuclear engineering