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.

View Research Projects

Upcoming Events and Workshops

Previously Recorded Talks

  • Optimal Control for Electroceutical Therapies

    Joshua Chang, M.D., Ph.D., Assistant Professor, Department of Neurology, The University of Texas at Austin

  • The Role of Explicit Regularization in Overparameterized Neural Networks

    Shiyu Liang

  • What Is Artificial Intelligence and Machine Learning?

    Joydeep Biswas

  • The lottery ticket hypothesis for gigantic pre-trained models

    Atlas Wang