Research

04/01/2026 - KXAN covers new technology created at UT that overcomes one of the biggest hurdles in robotics: sensitive touch.

03/30/2026 - 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.

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.

01/22/2026 - 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.

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. 

07/29/2025 - Big news from UTCS: With renewed funding from the National Science Foundation, IFML researchers are expanding their work to make AI more accurate, reliable, and ready for the real world. This critical research will strengthen how AI systems function — and accelerate progress in science, technology, and workforce innovation.

07/23/2025 - Daehyeok Kim, an assistant professor in the Department of Computer Science at The University of Texas at Austin, has received a 2025 National Science Foundation (NSF) CAREER Award for his project “Toward Programmable NICs as Multi‑Tenant Cloud Resources.” The award provides $622,738 over five years to su

05/20/2025 - Researchers at The University of Texas at Austin and Cognizant AI Lab have developed an AI-driven system that leverages 175 years of global land use and carbon storage data to generate optimal environmental policy strategies. The AI model, backed by Project Resilience and AI for Good, balances complex trade-offs to maximize carbon storage, minimize economic disruption, and improve everyday life.

03/28/2025 - UT Austin’s Scott Aaronson and his former postdoctoral researcher, Shih-Han Hung, played a key role in demonstrating the first practical use of quantum computing: generating and verifying truly random numbers.

03/18/2025 - UT Austin and Tec de Monterrey have established the OriGen Health Research Center to leverage Latin America’s largest biobank and AI-driven analysis for advancing precision medicine. The collaboration includes faculty from UT’s College of Natural Sciences, Dell Medical School, and College of Pharmacy, with researchers applying machine learning and data science to genetic and clinical data. This work will enhance understanding of chronic diseases affecting Latino populations and develop targeted, data-driven healthcare solutions.