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Institute for Foundations of Machine Learning

On AI for the Rest of Us: How AI is Accelerating Discovery

A woman in a white lab coat and gloves holds up a molecule that has been magnified to the size of her head

12/03/2024 - From data analysis, code writing, summarizing scientific literature and even designing experiments, researchers across disciplines are using AI tools to aid in their research.Adam Klivans, a professor of computer science and Alex Dimakis, a computer and electrical engineering professor, co-direct the Machine Learning Lab and the Institute for Foundations of Machine Learning. Together with Marc Airhart and Casey Boyle discuss how artificial intelligence plays an increasingly important role in the latest scientific discoveries.

New AI Institute Led by UT Researchers Will Accelerate Cosmic Discovery

Four quadrants of scientific-images come together, with webs showing bright spots for star formation, galaxy clustering, identifications of galaxies that are labeled and a futuristic network.

09/18/2024 - The University of Texas at Austin has been selected to lead the NSF-Simons AI Institute for Cosmic Origins, a new $20 million research initiative focused on using AI to explore the universe’s biggest mysteries, from dark matter to the origins of life. Greg Durrett, Associate Professor of Computer Science at UT, is a co-investigator on this groundbreaking project, further cementing UT’s leadership in AI research.

Artificial Intelligence Trained to Draw Inspiration From Images, Not Copy Them

Three rows of similarly themed illustrations—earnest dogs, scientist pandas and robot graffiti—differ in each of five iterations per row.

05/17/2024 - Researchers are using corrupted data to help generative AI models avoid the misuse of images under copyright. Powerful new artificial intelligence models sometimes, quite famously, get things wrong — whether hallucinating false information or memorizing others’ work and offering it up as their own. To address the latter, researchers led by a team at The University of Texas at Austin have developed a framework to train AI models on images corrupted beyond recognition.

UT Austin Selected as Home of National AI Institute Focused on Machine Learning

Image from Philipp Krähenbühl's Object Detection Research

08/26/2020 - The National Science Foundation has selected The University of Texas at Austin to lead NSF AI Institute for Foundations of Machine Learning, bolstering the university’s existing strengths in this emerging field. Machine learning is the technology that drives AI systems, enabling them to acquire knowledge and make predictions in complex environments. This technology has the potential to transform everything from transportation to entertainment to health care.

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