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U.S. News Ranks UT Austin Computer Science Among Best in Graduate Program Rankings
Number 7 Best Graduate Computer Science Program in the Nation
The 2024-2025 rankings tout computer science at The University of Texas at Austin as among the seven best nationally. Read More
Undergraduate Researchers Help Unlock Lessons of Machine Learning and AI
Four undergraduate students, Prasann Singhal, Nihita Sarma, Shankar Padmanabhan and Jennifer Mickel pose on a staircase near a limestone building at UT.
From large language models to brain-machine interfaces, students work with faculty on cutting-edge research. Read More
Alzheimer’s Drug Fermented With Help From AI and Bacteria Moves Closer to Reality
image of bacteria and biosensors
An innovative approach uses artificial intelligence and biosensors to pave the way for faster drug development. Read More
UT Programming Team Advances to ICPC North America Championship Following Strong Regional Performance
The UT Programming Team gathered together for a photo in a restuarant. Eight students and three faculty coaches stand in the back row. Four students sit in the front row.
On Sat, February 24, 2024, the UT Programming Team competed in the ICPC South Central USA Regional Competition. As a result, one team will advance to the ICPC North America Championship on Monday, May 27, 2024. Read More
New Virtual Master’s Program in AI Breaks Traditional Learning Methods
robotic person in glowing Tron-like suit on desktop computer with binary code and UT seal on screen.
The newly introduced Online Master's in Artificial Intelligence (MSAI) program at the University of Texas at Austin is strategically designed to meet the dynamic needs of the AI sector while placing a strong emphasis on ethical considerations. Throughout the program, students are immersed in challenging coursework, including a compulsory "Ethics in AI" course that underscores the importance of responsible AI utilization, incorporating assignments featuring AI tools such as ChatGPT. Read More
Inaugural Class of AI Master’s Students Tackle a Transformative Moment in Tech
The University of Texas at Austin has welcomed its first cohort of students in the new, affordable, online artificial intelligence graduate degree program.
The University of Texas at Austin has welcomed its first cohort of students in the new, affordable, online artificial intelligence graduate degree program. Read More
Understanding the Mathematical Foundations Behind Challenging Puzzle Design
image of a disentanglement puzzle. A blue square with a three by three grid with a red donut looped around one of the grid lines of the square. View from top and view from bottom.
Researchers from The University of Texas at Austin and McGill University delve into the mathematical intricacies of wire puzzle design. Focusing on geometrical aspects, they establish criteria for puzzle characteristics, emphasizing the importance of a challenging experience. The team introduces quantitative metrics to assess tunnel-bubble structures, demonstrating their effectiveness in distinguishing puzzles from non-puzzles. Their findings provide a foundation for an optimization model, shaping the future of wire puzzle design. Read More
New Texas Center Will Create Generative AI Computing Cluster Among Largest of Its Kind
Alex Demarkis, right, and Adam Klivans, left, in front of the GPU computing cluster powering the Center for Generative AI.
The University of Texas at Austin is creating one of the most powerful artificial intelligence hubs in the academic world to lead in research and offer world-class AI infrastructure to a wide range of partners. Read More
Aditya Akella and Emmett Witchel Selected as 2023 ACM Fellows
UT Computer Science Professors Aditya Aella and Emmett Witchel against a blue background.
Computer Scientists Aditya Akella and Emmett Witchel have been named 2023 Fellows of the Association for Computing Machinery. Read More
Zuckerman Receives the NAS Michael and Sheila Held Prize
Professor David Zuckerman sitting at his desk in his office writing on a tablet of paper.
David Zuckerman is a professor of computer science whose research focuses primarily on pseudorandomness and the role of randomness in computing. Read More

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