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Machine Learning

The Future of AI Research: UT's Adam Klivans on KXAN

UT Professor Adam Klivans on the KXAN set

01/31/2025 - Dr. Adam Klivans, UT Computer Science professor and director of the Institute for Foundations of Machine Learning, joined KXAN Austin to discuss the impact of DeepSeek’s latest AI model. He explained how the Chinese company’s breakthrough in training efficiency—achieving high-performance results with significantly less computational power—has surprised the AI industry and affected major tech stocks. Klivans also highlighted ongoing questions about DeepSeek’s methods and the broader implications for AI development.

On AI for the Rest of Us: What is AI, Anyways?

A robotic hand pours coffee into a mug being held by a human hand

12/03/2024 - Co-hosts Marc Airhart and Casey Boyle talk with CS Professor Peter Stone to distinguish what is and is not artificial intelligence. Stone, also director of Texas Robotics, executive director of Sony AI America, works on the 100 Year Study on AI and is part of UT’s Good Systems initiative. Airhart, Boyle, and Stone talk about ethical AI use and what is the best way of thinking about it in this artificial intelligence primer.

Introducing: AI for the Rest of Us

Two people look at a wall emblazoned with the words "AI for the rest of us"

12/03/2024 - A new podcast, made in collaboration with the College of Natural Sciences and the College of Liberal Arts, will answer the burning questions in all things artificial intelligence. Guests from across campus will engage in conversations with co-hosts Marc Airhart, a science communicator for CNS and Casey Boyle, associate rhetoric professor and Digital Writing and Research Lab Director. 

‘To do things they hadn't even thought of’: Senior Turing Scholar publishes second computer science research paper

Turing student Alan Baade pictured in gray and white against geometic print on white background and orange soundwaves running behind Alan's head.

10/01/2024 - Computer Science and Mathematics senior Alan Baade really enjoys spending hours on problems.Especially the particularly hard ones, he said. Spending 40 hours on one equation with a small break for sleep somewhere in the middle is rewarding to him.“I think it's because you can tell at the end of this you are going to understand the material,” Baade said.  “You're going to understand computers.”

Turbocharging Protein Engineering with AI

Three people stand silhouetted in front of a wall-sized video display that shows several large colorful illustrations of molecules

09/26/2024 - Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence.Working as a chemist in Houston, Danny Diaz spent a lot of time plodding his way through crosstown traffic, pondering how to speed up his research.“I realized that my impact in the short term would be limited to the amount of chemistry experiments I could do with my hands,” he recalled.

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.

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