Fall AI Research Symposium Highlights IFML’s Fifth-Year Renewal
Amin Karbasi (Senior Director of AI Research, Cisco Foundation AI) and Vahab Mirrokni (Google Fellow and VP, Google Research) will be the keynote speakers fo
News
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
Now, Later, and Lasting: 10 Priorities for AI Research, Policy, and Practice
Shaping the future of artificial intelligence