New IFML Framework for Diffusion Models to be included in several production pipelines by teams in Google
Latent representation spaces have been powerful in enabling computationally efficient methods for image generation.
News
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
Turbocharging Protein Engineering with AI
Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence.
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension earns Best Paper Award at COLT 2024!
Authored by IFML Director Adam Klivans, students Gautam Chandrasekaran, Konstantinos Stavropoulos, IFML postdoc Vasilis Kontonis, and former UT CS PhD Raghu Meka