Florida Department of Transportation ranks safety as a top priority for the state, and it is listed as one of FDOT’s Vital Few focus areas. Despite the vision of having fatality-free roadways, crashes are still a reality today.
The patient arrived with a bladder stone, grimacing in pain and moping about. He wouldn’t even chew his cud. The...
Jasmine McNealy, University of Florida College of Journalism and Communications Media Production, Management, and Technology Associate Professor and Associate Director of the Marion B. Brechner First Amendment Project, is featured in a video about creating responsible AI.
Researchers at UF are using data from the past to establish a method for predicting the near-term economic impacts of the pandemic.
UF today announced a partnership with NVIDIA that will catapult research strength to address some of the world’s most formidable challenges
Pam Soltis has spent her adult life studying the Earth’s living things, first from the perspective of plants and in recent years on a broader scale as she and her husband, Doug, have worked to create a “Tree of Life” that organizes and illustrates how all living things interact.
Wang and a team of investigators have been awarded nearly $1 million to establish machine learning as a pillar for design in automated personnel-selection systems used in human resource management.
PRISMAp researchers, in collaboration with several departments at the University of Florida including Biomedical Engineering, Surgery, UFHealth, and i-Heal, have just completed the first ever study that uses urinary cellular gene expression to study sepsis.
Christina Boucher, Ph.D., associate professor in the UF Department of Computer & Information Science & Engineering (CISE), has received a $1.2 million grant from the National Science Foundation (NSF).
NVIDIA Clara Discovery aims to give researchers tools needed to discover promising pharmaceuticals faster.
University of Florida researchers are using artificial intelligence to help citrus growers better forecast their seasonal production. So far, they’ve found in a preliminary study that their technology predicts yields with 98% accuracy.
No More Content