News: Machine Learning, Data and AI

Maytal Saar-Tsechansky and Samantha Shorey consider the ways that AI might change how we work and how to prepare for the future.

Art Markman and K.P. Procko consider how artificial intelligence is already changing the college experience, its promise and pitfalls, and future directions.

UT researchers developed an AI technology that empowers users with visual impairments to engage with digital media.

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.

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.