Not every microscope is created equal. The trick is finding the right one, and sometimes that means starting from scratch. ...
In a small private school in Jacksonville, a teenager put on a virtual-reality headsetfor the first time. Immersed in another...
UF astronomy Professor Rafael Guzmán has spent his life looking up at the stars, but it took just one question...
High-impact research is in full swing on the University of Florida’s powerful supercomputer, with faculty and students from across the...
From the shutdown of an oil pipeline to disrupted access to government, business and healthcare system databases, high-profile cyberattacks in...
Complications after surgery can pose many challenges for both physicians and patients. Now, University of Florida researchers have confirmed their...
Head up to the second floor of the University of Florida’s Innovation Hub and you might find yourself in the...
The earliest known use of concrete is a floor that dates back to Galilee, circa 7000 BCE, still sound when...
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.
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.
R. Perry Frankland Associate Professor of Management and two co-authors won first place at the U Penn Wharton People Analytics Conference.
As scientific voids go, it would be hard just now to find a more pressing question: How do the aerosols...