News: Machine Learning, Data and AI

What do we even mean when we say “artificial intelligence”? And how do we make sure it’s safe and useful? Here, with all the answers...

For the Year of AI, University experts and guests offer up key lessons about AI across disciplines.

Aditya Akella leads the project that aims to boost performance of OSes and help enable assistant robots, autonomous vehicles and smart cities.

Researchers are using corrupted data to help generative AI models avoid the misuse of images under copyright.

Guide-dog users and trainers can provide insight into features that make robotic helpers useful in the real world.

UT’s Elad Liebman and Peter Stone consider robots that understand not only our commands but also our emotional states.

University of Texas at Austin AI experts and academic leaders visited the Capitol to highlight how public universities can drive artificial intelligence safety.

The 2024-2025 rankings tout computer science at The University of Texas at Austin as among the seven best nationally.

From large language models to brain-machine interfaces, students work with faculty on cutting-edge research.

Insights from Risto Miikkulainen, a UT Austin professor of computer science and VP of AI Research at Cognizant Advanced AI Labs.