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
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
The University of Texas at Austin has welcomed its first cohort of students in the new, affordable, online artificial intelligence graduate degree program.
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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.
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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.
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David Zuckerman is a professor of computer science whose research focuses primarily on pseudorandomness and the role of randomness in computing.
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Academia can be opaque from the outside to folks who wonder what being a professor is like. This can be a hurdle for aspiring graduate students, who are interested in the role, but are anxious about all the different things that are required as a professor. Vijay Chidambaram, Professor of Computer Science at UT Austin, has authored a book, "The CS Assistant Professor Handbook: Essential know-how for new and aspiring computer science professors", to tackle this challenge.Read More
In mathematical optimization, a new approach is emerging, promising to transform how we tackle intricate challenges across various domains. Consider the complexity of bilevel optimization, a problem that has confounded experts in machine learning, engineering, and other fields. Recent advances are providing new insights into this intricate landscape, presenting a streamlined technique that has the potential to significantly enhance our ability to navigate these complex problems. Read More
