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UT Programming Contest Participants
On March 22, 2026, the UT Programming Contest team competed in the International Collegiate Programming Contest (ICPC) North America Championship (NAC) in Orlando, hosted by the University of Central Florida. Read More
A young man gazes into a digital device.
A recent study found that a third of teenagers are choosing AI companions over humans for serious conversations, and a quarter have shared personal information with these platforms. Read More
Robot hands holding potato chip
KXAN covers new technology created at UT that overcomes one of the biggest hurdles in robotics: sensitive touch. Read Article
Building an AI Infrastructure Fit for the Future
Artificial Intelligence is now accessible to nearly everyone — download an app, write a few lines of code, purchase an API, and you can integrate it into your own product. But accessibility is only half the story. As artificial intelligence grows more powerful and widespread, the infrastructure that supports it is struggling to keep up. Read More
Peter Stone
Peter Stone, Truchard Foundation Chair in Computer Science and Chair of the Department of Computer Science, presents the keynote “From How to Learn to What to Learn in Multiagent Systems and Robotics” at the Association for the Advancement of Artificial Intelligence (AAAI) Conference. Read More
School of Computing
New school will unite key strengths to establish a center of excellence, strengthening interdisciplinary research and preparing talent for a rapidly changing economy. Read Article
Nationa Academy of Enginnering
Ken McMillan, a professor in the Department of Computer Science, was recently inducted into the National Academy of Engineering, one of the highest honors in the field. McMillan’s innovations in symbolic model checking laid the foundation for tools that have become essential for ensuring correctness in complex engineering systems. Internet stability leader and UT alumnus Farnam Jahanian, who is president of Carnegie Mellon University, also received the honor. Read Article
AI Coach
Imagine having a pair of smart glasses that don’t just record what you see, but truly understand it. Maybe you’re DIYing a leaky faucet, improving your tennis swing, or rehabbing a shoulder injury, and there’s an AI expert guiding you with real-time, personalized feedback. Read More
Kristen Grauman
Kristen Grauman, Ph.D., a professor in the Department of Computer Science, was awarded the prestigious 2026 Hill Prize in Artificial Intelligence for her research on understanding models that help people gain physical and procedural skills. Her research highlights a key step in helping these systems support people through their everyday activities. Read More
Adaptive Anatomy
Digital modeling is one of the most widely used tools for bringing bodies to life in 3D. Created from thousands of everyday images and videos, 3D generative models employ artificial intelligence to help us understand the structure of animals and humans. These models are essential for a wide range of real-world applications, including biological research and surgical planning. Existing generative models, however, have limitations as they rely on training data that consists of fixed, typical skeletal structures—and nature is anything but typical.  Read More