AI-powered research aims to protect young adults from tobacco addiction

Every year, hundreds of thousands of kids and young adults take their first puff of an e-cigarette – oblivious that this small choice could lead to a lifetime of tobacco addiction. University of Florida researchers are working to change that by using artificial intelligence to pinpoint which young people are most at risk – before they ever start.

Digital twin technology simulates strawberry farm, boosts AI tools and cuts costs

Digital twins are virtual replicas of objects, systems or processes that can predict system behavior as they interact in a simulated environment. Dana Choi and her team of University of Florida scientists have now shown that the robotic system, powered by artificial intelligence (AI), is accurate and saves time and labor. That’s critical for the $500 million-a-year Florida strawberry industry and could also be crucial for an industry worth $2 billion annually across the United States.

UF medical students explore artificial intelligence in research program

More than 45 UF College of Medicine students have participated in the Artificial Intelligence in Medicine track of the Research and Discovery Pathways Program over the last three years. The pathway enables UF medical students to conduct AI-related research projects, build connections with research faculty, hear presentations from guest presenters and gain access to premier tools and trainings.

Third-grade ‘mini researchers’ at UF design AI-based app to improve Florida literacy

Through a multi-disciplinary research project in UF’s College of Education, a handful of third-grade “mini researchers” are adding another skill to their academic repertoires: co-designing a mobile app called AR (Augmented Reality) Expeditions, which will launch this year, to inspire Florida elementary school students to read.

UF/IFAS study: Drones, AI help farmers save money, protect the environment

A new University of Florida study shows how drones can do more than just take aerial pictures and videos—they can help farmers grow better hemp by seeing the health of their crops with some artificial intelligence assistance. Researchers at the UF Institute of Food and Agricultural Sciences (UF/IFAS) Tropical Research and Education Center (TREC) in Homestead used drone-based imaging to help determine how much nitrogen fertilizer hemp plants need for optimal growth and flower production.

UF professor develops AI tool to better assess Parkinson’s disease, other movement disorders

A University of Florida researcher has developed a groundbreaking open-source computer program that uses artificial intelligence to analyze videos of patients with Parkinson’s disease and other movement disorders. The tool, called VisionMD, helps doctors more accurately monitor subtle motor changes, improving patient care and advancing clinical research.

Applying AI to cancer research, a UF professor helps transform medical imaging

Medical imaging plays a central role in the diagnosis, treatment and monitoring of cancer – whether it involves visualizing the location of a tumor for surgery or tracking disease progression over time. Researchers at the UF Health Cancer Center are currently developing AI algorithms for a range of medical image analysis tasks, such as multimodal image fusion, cancer detection, organ segmentation and enhanced image resolution.