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Three rows of similarly themed illustrations—earnest dogs, scientist pandas and robot graffiti—differ in each of five iterations per row.
Researchers are using corrupted data to help generative AI models avoid the misuse of images under copyright. Powerful new artificial intelligence models sometimes, quite famously, get things wrong — whether hallucinating false information or memorizing others’ work and offering it up as their own. To address the latter, researchers led by a team at The University of Texas at Austin have developed a framework to train AI models on images corrupted beyond recognition. Read More
A white german shepherd mix appearing dog standing next to a robotic guide dog.
Guide-dog users and trainers can provide insight into features that make robotic helpers useful in the real world. Read More
Letters 'AI' in sans serif font against charcoal gray felt textured background
The University of Texas has introduced a new Master of Science in Artificial Intelligence program, which has received a tremendous response from students. Over 600 students have enrolled in the program's first semester, indicating the growing interest in AI-related jobs worldwide. The university has emphasized the program's focus on developing AI experts for future generations. The curriculum strongly emphasizes ethics to equip graduates with the necessary skills to navigate the ethical aspects of AI technology. Read More
Students on the UTPC team (Left to right) - Ruoshi Dai (’23, M.S.) Jiawei Li (current Ph.D.), and Stanley Wei (’23, Turing Scholar)
This past month, UTPC competed at the International Collegiate Programming Contest (ICPC) World Finals hosted by the Arab Academy for Science, Technology and Maritime Transport in Luxor, Egypt.The competition consisted of teams from 124 regions (approx. 372 students) trying to solve 11 problems in 5 hrs. The first-place team, Peking University, solved 10 problems. The second-place team, M.I.T., solved 9 problems.UT solved 6 problems and came in 53rd place, 9th place in North America. Read More
Young person lounging back with a boombox under their right foot listening to music.
Music has always had the power to stir our emotions, from the exhilaration of a fast-paced rock anthem to the melancholy of a soulful ballad. But, could the music we listen to also affect how we make decisions, especially in our interactions with robots? This intriguing question lies at the heart of a study conducted by UT Austin Assistant Professor Elad Liebman and Professor Peter Stone. Read More
UT Computer Science students Alex Burton, Stephane Hatgis-Kessell, Jenn Mickel, Leo Orshansky, and Shankar Padmanabhan tiled in white circles, each inside a colorful square in UT brand colors.
Meet the graduating Computer Science seniors being recognized for excellence in research, academics, and improving the community. Read More
UT Computer Science Professor Shyamal Mitra
Professor Shyamal Mitra embodies a lifelong commitment to learning and resilience, transitioning from astronomy and physics to teaching computer science. Despite initial challenges and self-doubt when tasked with teaching a programming language he had yet to master, Mitra embraced the opportunity, learning alongside his students and fostering a culture of shared discovery. Read More
Three Nao humanoid robots lined up on RoboCup practice field.
UT Computer Science is at the forefront of robotics innovation, aiming to propel the field forward. Highlighted in a recent article by KXAN, experts like Dr. Peter Stone and Justin Hart showcased their work, including advancements in generative AI, which is integral to tasks ranging from domestic chores to humanoid robot soccer, a part of the RoboCup Federation's ambitious goal of a robot team winning the World Cup by 2050. Read More
Professor Kristen Grauman standing in front of the wood slats of the grand stairway in the Gates Dell Complex
UT Computer Science Professor Kristen Grauman is among the eleven faculty members at The University of Texas at Austin who have been elected fellows of the American Association for the Advancement of Science (AAAS), including prominent figures in artificial intelligence from the university’s Department of Read More
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