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 Events
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Research Project
A Universal Law of Robustness via Isoperimetry
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Fairness in ML Seminar
Fairness for Generation with Uncertainty
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SlowDNN Workshop
Workshop on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN)
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Upcoming Events
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November22
Workshop on Seeking Low-dimensionality in Deep Neural Networks (SLowDNN)
Talk by Atlas Wang
