How Florida researchers are using UF’s supercomputer

How Florida researchers are using UF’s supercomputer

Blake Trauschke

High-impact research is in full swing on the University of Florida’s powerful supercomputer, with faculty and students from across the State University System using HiPerGator ⁠— one of the smartest machines in the world — to advance critical work in areas including the environment, technology and medicine.

Available to all State University System institutions, researchers across Florida are leveraging HiPerGator’s 70,000+ compute cores — which receive and execute instructions — of cutting-edge computing power to advance solutions to problems previously thought to be unsolvable. For context, an average laptop has four compute cores.

At least 117 researchers from across the state have used HiPerGator since it was made available systemwide. Instructors from Florida’s 12 public universities can also use HiPerGator in their teaching, introducing students to the possibilities of AI and its applications across fields.

Among the most massive projects underway is SynGatorTron™, a tool developed by UF Health in partnership with Silicon Valley-based technology company NVIDIA, that can generate synthetic data untraceable to real patients. That data can then be used to train the next generation of medical AI systems to understand conversational language and medical terminology. Among other opportunities, these advances could lead to medical chatbots that can interact with patients using human language and medical knowledge.

The model is an update on the original GatorTron™, an AI tool that enables computers to quickly access, read and interpret medical language in clinical notes and other unstructured narratives stored in real-world electronic health records. GatorTron™ is expected to accelerate research and medical decision-making by extracting information and insights from massive amounts of clinical data with unprecedented speed and clarity. It will also lead to innovative AI tools and advanced, data-driven health research methods…read more

///   David Reed, Ph.D.   ///
is a user in ICBR’s NextGen DNA Sequencing and Gene Expression & Genotyping cores