As scientific voids go, it would be hard just now to find a more pressing question: How do the aerosols...
The internet of things could make the office sweater obsolete
The University of Florida Board of Trustees today approved investing $24 million to acquire a more advanced version of UF’s...
W hen Chimay Anumba became dean of UF’s College of Design, Construction and Planning in Fall 2016, one need was...
UF scholar Mark Flannery is Securities and Exchange Commission’s new chief economist
UF researchers have figured out how to turn human waste into rocket fuel
UF grows $10 million grant into $1.7 billion gene therapy company Brammer Bio
A UF team is building and testing mixed-reality simulators for five different medical procedures
Head up to the second floor of the University of Florida’s Innovation Hub and you might find yourself in the...
UF cybersecurity professor Kevin Butler developed the framework, which spells out guidance for countries to prevent fraud and abuse on...
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.
High-impact research is in full swing on the University of Florida’s powerful supercomputer, with faculty and students from across the...