December 9, 2022

IFML Researchers Win Two Outstanding Paper Awards at NeurIPS 2022

For the second consecutive year, IFML researchers won top honors at NeurIPS, the Conference and Workshop on Neural Information Processing Systems.

News

New Partnership Will Scale Up Investment in Ethical AI Research and Innovation

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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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