UT Researchers Build Robot Hands Gentle Enough to Hold a Potato Chip
04/01/2026 - KXAN covers new technology created at UT that overcomes one of the biggest hurdles in robotics: sensitive touch.
04/01/2026 - KXAN covers new technology created at UT that overcomes one of the biggest hurdles in robotics: sensitive touch.
04/01/2026 - 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.
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.
02/11/2026 - 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’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.
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.
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.
12/17/2025 - 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.
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.
11/19/2025 - Amid the private sector’s race to lead artificial intelligence innovation, The University of Texas at Austin has strengthened its lead in academic computing power and dominance in computing power for public, open-source AI. UT has acquired high-performance Dell PowerEdge servers and NVIDIA AI infrastructure powered by more than 4,000 NVIDIA Blackwell architecture graphic processing units (GPUs), the most powerful GPUs in production to date.
11/19/2025 - Updated April 2, 2026UT Austin’s Computer Science students continued to demonstrate their national competitiveness at the ICPC North America Championship (NAC), placing among the top teams in the United States and Canada following their standout regional performance.