The Sid Martin Biotechnology Incubator celebrates two decades of nurturing young companies
How do you capture the sound of the stars? That was the challenge placed before composer Tina Tallon — for the score...
UF researchers have figured out how to turn human waste into rocket fuel
A visibly nervous man is stopped at a border crossing in eastern Europe. Authorities find a glass tube filled with...
UF scholar Mark Flannery is Securities and Exchange Commission’s new chief economist
Fab Lab technology allows makers of all sorts to turn their visions into reality
Spaceflight changes brain pathways
Educating future generations
Gatorade changed UF forever
The earliest known use of concrete is a floor that dates back to Galilee, circa 7000 BCE, still sound when...
MIST Center focuses on hardware that enables the IoT
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.