We are the National AI Institute for Foundations of Machine Learning (IFML)
Designated by the National Science Foundation (NSF) in 2020, IFML develops the key foundational tools for the next decade of AI innovation. Our institute comprises researchers from The University of Texas at Austin, University of Washington, Wichita State University, and Microsoft Research.
Our researchers create new algorithms that can help machines learn on the fly, change their expectations as they encounter people and objects in real life, and even bounce back from deliberate attempts by adversaries to manipulate datasets.
Featured
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Standing-Room Only at the 2023 Machine Learning Lab Public Lecture
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THIS JUST IN: New York Times Story on UT Austin's Online Master's Degree in AI
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IFML Public Lecture: AI for Accurate and Fair Imaging
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NLP Modules for High School
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IFML Researchers Win Two Outstanding Paper Awards at NeurIPS 2022
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Shiwei Liu and Visual Informatics Group Receive Best Paper Award at LoG 2022
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Upcoming Events and Workshops
- April28
The Extrapolation of Correlation
Talk by Victor Panaretos, Professor of Mathematical Statistics and Director of the Mathematics Institute, EPFL
Previously Recorded Talks
New & Noteworthy
Research Project
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata
Use-Inspired Applications