News: Computer Science

Greg Durrett tackles your burning questions about large language models.

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.

Professor Calvin Lin has won the prestigious Minnie Stevens Piper Teaching Award.

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.

Luisa Mao of The University of Texas at Austin is among a select group of undergraduates to be awarded the prestigious Goldwater Scholarship.

Computer scientists Ryan Farrel and Chandrajit Bajaj will test a novel reinforcement learning approach.

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