04/16/2026 - In Brief: A woven bunny sculpture showcases research using algorithms to design complex 3D structures from simple strips of material. Weaving makes objects stronger and lighter, but designing intricate shapes by hand is too complex to scale. This work uses computation to precisely map how each strip should intersect, unlocking repeatable, efficient fabrication. The approach could enable lightweight aerospace parts, custom medical devices, and new manufacturing methods.Read More
04/09/2026 - What should be next for AI? That was the question on everyone’s mind at the recent Texas Symposium on Machine Learning, Responsible AI & Robotics, held here on the Forty Acres.Read More
04/07/2026 - The UT Austin Computer Science graduate program has again been recognized as top 10 in the country, according to the 2026–2027 U.S. News & World Report “Best Graduate Schools” rankings, released today. The program is known for its leadership in Artificial Intelligence, Computer Systems, Theory, and strong ties to the Austin tech ecosystem, attracting interest from top industry recruiters. Read More
04/02/2026 - UT 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.Read More
04/02/2026 - 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.Read More
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
