Dynamic Doppelganger: Developing Florida’s Digital Twin

The University of Florida is pioneering the Florida’s Digital Twin project, utilizing AI and digital twin technologies to simulate urban environments like Jacksonville, enhancing urban planning, infrastructure resilience, and even healthcare through augmented reality and other digital innovations.

UF researcher developing trustworth AI to model human behavior in natural disasters

UF researcher Xilei Zhao, Ph.D., is at the forefront of developing advanced AI models that predict human behavior during natural disasters, aiming to revolutionize emergency response strategies while ensuring social equity by accurately modeling diverse population groups and improving community resilience.

Researchers create a new AI pipeline for identifying molecular interactions

Assistant Professor Alberto Perez's team developed the AF-CBA Pipeline, an AI-driven algorithm leveraging AlphaFold, to rapidly and accurately identify interactions between proteins and peptides, aiming to advance targeted therapy development.

UF Study Uses Machine Learning To Predict Opioid Use Disorder Treatment Interruptions

University of Florida researchers have developed a machine learning system to predict and manage treatment discontinuation in patients using buprenorphine for opioid use disorder, aiming to enhance treatment adherence and reduce risks associated with early discontinuation.

To hire the right job candidate, humans and machines should clear up this simple miscommunication

Researchers Heng Xu and Nan Zhang found that AI hiring tools used by Fortune 500 companies often select worse candidates than expected due to miscommunication, but an improved algorithm can better align with real-world hiring, reducing costs and improving candidate quality.

AI, lasers used to evaluate forest damage helps with rapid response after hurricanes

Researchers at the University of Florida Institute of Food and Agricultural Sciences are using artificial intelligence and lidar technology to rapidly assess and respond to forest damage caused by hurricanes.

Advancing Food Safety Monitoring Using an AI-based Sensor

Emma Holliday, a master’s student at the University of Florida, is developing an AI-based sensor to rapidly detect Salmonella in food, potentially transforming food safety monitoring and reducing foodborne illnesses.

How AI can improve health care

Members of the University of Florida College of Public Health and Health Professions discussed AI's potential to enhance healthcare delivery, highlighting advancements like personalized medicine and improved patient outcomes, during a seminar led by Aprinda Indahlastari, Jim Hoover, and Noah Hammarlund.