Research

10/01/2024 - Computer Science and Mathematics senior Alan Baade really enjoys spending hours on problems.Especially the particularly hard ones, he said. Spending 40 hours on one equation with a small break for sleep somewhere in the middle is rewarding to him.“I think it's because you can tell at the end of this you are going to understand the material,” Baade said.  “You're going to understand computers.”

09/24/2024 - The job of building computer networks that train and run large AI models is becoming increasingly complicated because traditional network designs can’t operate at the higher speeds that the AI workloads require and need to be tuned to a variety of communication endpoints (such as CPUs, graphics processing units and AI accelerators) that have widely different characteristics, including data generation speeds. Moreover, AI workloads require advanced network monitoring capabilities to quickly diagnose and resolve performance bottlenecks.

09/18/2024 - The University of Texas at Austin has been selected to lead the NSF-Simons AI Institute for Cosmic Origins, a new $20 million research initiative focused on using AI to explore the universe’s biggest mysteries, from dark matter to the origins of life. Greg Durrett, Associate Professor of Computer Science at UT, is a co-investigator on this groundbreaking project, further cementing UT’s leadership in AI research.

09/12/2024 - Artificial intelligence is very loosely regulated in the U.S. What kinds of laws would help make AI safer and more useful for everyone?

08/30/2024 - Computer science professor Chandrajit Bajaj was recently awarded funding by the U.S. Army Futures Command’s University Technology Development Division (UTDD), in support of DEVCOM C5ISR, for game theory research to develop artificial intelligence systems. The project will utilize Dynamic Belief Games to train AI agents to be better planning and decision support tools for next-generation communications systems.

08/12/2024 - Are AI robots the future of sports? These UT students think soAustin (KXAN) — A team of UT students, led by Professor Peter Stone, recently triumphed at the RoboCup Home competition in the Netherlands, where their AI-powered robots autonomously played soccer. The students believe their research is paving the way for a future where robots can compete against humans in sports, revolutionizing the field of AI robotics.

08/09/2024 - The UT computer science lab, with faculty member Amy Pavel and recent graduate Tess Van Daele at the forefront, has developed an AI system called ShortScribe to enhance accessibility for visually impaired users of short-form videos on platforms like TikTok and Instagram Reels. Pavel, an assistant computer science professor and co-author of the research paper, explained that the system utilizes AI technologies such as Optical Character Recognition, Automatic Speech Transmission, and GPT-4 to segment videos, transcribe speech, and create detailed audio descriptions.

07/24/2024 - Among hundreds of teams from around the world competing at RoboCup 2024, UT researchers and their robots shine.

06/27/2024 - 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.

05/23/2024 - Aditya Akella leads the project that aims to boost performance of OSes and help enable assistant robots, autonomous vehicles and smart cities.