November 14, 2025

IFML Hosts Fall 2025 AI Research Symposium

The Fall AI Research Symposium, held on November 5, 2025, at the Mulva auditorium on the UT campus, marked five years of groundbreaking work from the NSF Nat

An Algorithm for EMS Response

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IFML Public Lecture: AI for Accurate and Fair Imaging

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Researchers Develop New Method to Predict and Optimize Performance of Deep Learning Models

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‘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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