UT Expands Research on AI Accuracy and Reliability to Support Breakthroughs in Science, Technology and the Workforce
AUSTIN, Texas — A National Science Foundation artificial intelligence institute based at The University
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Turbocharging Protein Engineering with AI
Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence.
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension earns Best Paper Award at COLT 2024!
Authored by IFML Director Adam Klivans, students Gautam Chandrasekaran, Konstantinos Stavropoulos, IFML postdoc Vasilis Kontonis, and former UT CS PhD Raghu Meka
Now, Later, and Lasting: 10 Priorities for AI Research, Policy, and Practice
Shaping the future of artificial intelligence
THIS JUST IN: Special issue of AI Magazine celebrates National AI Institutes
IFML: AI systems that will transform our world