Explore upcoming talks and events hosted by the Department of Computer Science at the University of Texas at Austin.

This class is a graduate-level introduction to Natural Language Processing (NLP), the study of computing systems that can process, understand, or communicate in human language. The course covers ...

Kristen Grauman, Ph.D., a professor in the Department of Computer Science, was awarded the prestigious 2026 Hill Prize in ...

Experience programming, teamwork, and real-world applications in this week-long residential program for high school students. Choose from Arduino microcontrollers in the Standard Edition or Python in ...

Abstract Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of ...

Amazon just announced its new AI PhD Fellowship program, which will provide two years of funding for more than 100 PhD students at nine universities who are pursuing research on core AI disciplines ...

Fig.2 - Rectified flow between π 0 (magenta contour) and π 1 (red contour). Green and blue lines are the trajectories colored based on which mode of π 0 they are associated with for visualization.

The Department of Computer Science at The University of Texas at Austin ranks No. 9 nationally among undergraduate programs in the 2026 U.S. News & World Report Best Colleges rankings. Its Artificial ...

Prof. Peter Stone is a luminary in the Department of Computer Science, where he has been a faculty member for 23 years. Over the course of his tenure, he has been a firsthand witness to the rapid ...

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 ...

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 ...