July 7, 2026

IFML Researcher Jerry Li Awarded 2026 Gödel Prize for Landmark Machine Learning Breakthrough

IFML researcher Jerry Li has been awarded the 2026 Gödel Prize, one of the highest honors in theoretical computer science, for foundational work that changed how modern machine learning systems handle imperfect, noisy, and corrupted data.

‘Off Label’ Use of Imaging Databases Could Lead to Bias in AI Algorithms

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Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning

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Adam Klivans and Alex Dimakis on KXAN News!

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Alex Dimakis to Serve on AI Commission of the US Chamber of Commerce

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UT Austin Researchers Demonstrate a Deep Learning Technique That Achieves High-Quality Image Reconstructions Based on MRI Datasets

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IFML Member Peter Stone on the Cover of NATURE!

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UT Austin No. 1 in NSF Funding in United States

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How New Machine Learning Techniques Could Improve MRI Scans

Jon Tamir's Research Highlighted on Amazon Science

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Yes, Generative Models Are the New Sparsity

Alex Dimakis at the Joint IFML/CCSI Symposium at the Simons Institute

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IFML Researchers Take Home Two Outstanding Paper Awards at NeurIPS

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IFML Congratulates Dr. Alan Bovik on Receiving the 2022 IEEE Edison Medal

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Prof. Atlas Wang Receives Multiple Grants for work on Artifical Intelligence

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