03/19/2026 - 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
03/01/2026 - 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
02/19/2026 - 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
02/19/2026 - 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 is known for his work on symbolic model checking, which enabled automatic verification of hardware and software systems with extremely large state spaces. His innovations laid the foundation for tools such as the Symbolic Model Verifier (SMV), which have become essential for ensuring correctness in complex engineering systems.Read More
02/02/2026 - 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
01/22/2026 - In 2024, UT Austin launched the Center for Generative AI with a Texas-sized GPU computing cluster hailed as one of the largest in academia.Read More
01/20/2026 - 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
12/19/2025 - 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
12/15/2025 - Adam Klivans, a professor of computer science at the University of Texas at Austin, has received the 20-Year Test of Time Award at the 66th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2025), one of the field’s most prestigious conferences. The award honors research published two decades ago that has continued to shape the direction of computer science.Read More
