Skip to main content

News

Smart phone positioned on a phone tripod in a netural-tone, naturally lit room with a large window in the background.
Digital media is one of the best ways to engage with new communities, where each click takes you to new, engaging platforms like TikTok, Instagram Reels, and YouTube Shorts. This content is enhanced when you consider the intricacies of webcam visuals and overlays making it a really immersive experience.  Now, imagine this experience if you’re unable to see the video. For people with visual impairments, accessing this content comes with many challenges. These platforms currently lack effective solutions to bridge the accessibility gap for the blind and low vision (BLV) community.Read More
U.S. National Science Foundation Expeditions in Computer Awards
Aditya Akella leads the project that aims to boost performance of OSes and help enable assistant robots, autonomous vehicles and smart cities. Read More
Calvin Lin sitting in a chair in the GDC atrium
Calvin Lin, a professor of computer science at The University of Texas at Austin, has won the Minnie Stevens Piper Teaching Award, which celebrates outstanding postsecondary teaching. Since 1958, the Minnie Stevens Piper Foundation, a non-profit, charitable corporation focused on postsecondary education in Texas, has selected excellent educators from four- and two-year institutions from across Texas to be named "Piper Professors" for their superior teaching at the college level. Read More
Three students working in a computer science lab together looking at a segway robot.
The National Science Foundation (NSF) has announced the recipients of its prestigious Graduate Research Fellowships (NSF GRFP) for 2024, and students from the Department of Computer Science at The University of Texas at Austin's College of Natural Sciences (CNS) have been prominently recognized. This year, four Computer Science students were honored with fellowships or honorable mentions, highlighting their outstanding contributions and potential in various cutting-edge research areas.Read More
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