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July 29, 2025

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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News

  • 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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  • Student-run Seminar in ML/Optimization/CV

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  • Prof. Al Bovik Recognized for Algorithms that Optimize Video Streaming

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  • New AI Institutes Feature Core IFML Members Caramanis, Mokhtari, Pan, and Shakkottai

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