UT Expands Research on AI Accuracy and Reliability to Support Breakthroughs in Science, Technology and the Workforce
AUSTIN, Texas — A National Science Foundation artificial intelligence institute based at The University
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NSF IFML Researchers Win Outstanding Paper Award at ICML 2025
"Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions"
Can AI Make Critical Communications Chips Easier to Design?
NSF IFML Director Adam Klivans part of multi-university team and industry team formed to accelerate AI-driven design of radio frequency integrated circuits.
The Future of Protein Engineering: Unlocking Evolutionary Insights & Stability
Danny Diaz on Root Access Podcast!
New IFML Framework for Diffusion Models to be included in several production pipelines by teams in Google
Algorithms for solving inverse problems give breakthrough performance on visual stylization, personalization, and image restoration.
IFML Diffusion Seminar Series: Tutorial on the Mathematical Foundations of Diffusion Models for Image Generation
Sanjay Shakkottai, Professor and Cockrell Family Chair in Engineering # 15 in the Department of Electrical and Computer Engineering. UT Austin; Director, Center for Generative AI