UF astronomy Professor Rafael Guzmán has spent his life looking up at the stars, but it took just one question...
A team of UF researchers says it has developed a way to stop ransomware dead in its tracks
UF associate professor uses app to talk climate change with farmers
UF researcher uses laser scanning to document coastal communities' heritage
Ensuring people of all abilities can vote with confidence
UF cybersecurity professor Kevin Butler developed the framework, which spells out guidance for countries to prevent fraud and abuse on...
In a small private school in Jacksonville, a teenager put on a virtual-reality headsetfor the first time. Immersed in another...
An updated training reactor offers new opportunities in nuclear engineering
Gatorade changed UF forever
UF scholar Mark Flannery is Securities and Exchange Commission’s new chief economist
Educating future generations
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.