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.
Technology opens UF's collection of amphibians and reptiles to the world
I-STREET testbed deploys the internet of things for traffic research
A UF team is building and testing mixed-reality simulators for five different medical procedures
When the United Nations, the American Academy of Pediatrics or The Wall Street Journal need insight on sharenting — the term coined...
AI system delivers fast, accurate
patient data
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.
From the shutdown of an oil pipeline to disrupted access to government, business and healthcare system databases, high-profile cyberattacks in...
How do you capture the sound of the stars? That was the challenge placed before composer Tina Tallon — for the score...
Head up to the second floor of the University of Florida’s Innovation Hub and you might find yourself in the...
UF astronomy Professor Rafael Guzmán has spent his life looking up at the stars, but it took just one question...
In a small private school in Jacksonville, a teenager put on a virtual-reality headsetfor the first time. Immersed in another...












