The University of Utah continues to expand its AI ecosystem with the introduction of Google Gemini and NotebookLM. Designed to support productivity, research, and learning, these tools reflect the university’s commitment to providing innovative capabilities within a secure and responsible framework.
The April 8 AI at the U Forum highlighted how artificial intelligence is gaining momentum across campus—from practical, approved tools and hands‑on learning opportunities to evolving guidance on responsible use in teaching, research, and operations. Featuring updates from university leadership and the growing AI community, the forum underscored a shared commitment to making AI more accessible, intentional, and integrated into everyday work and learning.
The School of Environment, Society & Sustainability (ESS) is expanding its leadership in AI-driven environmental and spatial data science through new faculty hires, academic programs, and research investments. With expertise spanning remote sensing, machine learning, and geospatial analytics, ESS supports cutting-edge research on climate impacts, natural hazards, and sustainability challenges. New undergraduate and master’s programs in Spatial Data Science are preparing students with in-demand AI and geospatial skills, reinforcing ESS’s long-term vision for innovation in research and education.
Join our upcoming AI Hackathon, a fast‑paced virtual event where participants from any discipline use AI tools to tackle real‑world problems. In just a few hours, you’ll collaborate, build, and explore how AI can drive practical impact.
Fatemeh Shah Mohammadi’s teams are using large language models to turn messy, unstructured health text into transparent, structured data that clinicians and researchers can trust. Their work enables earlier clinical risk detection and scalable, standardized metadata extraction, improving interoperability, reproducibility, and real‑world health insights.