Deep Proteins researchers draw on lessons from many disciplines, for example, to develop an AI technique called EvoRank that ...

UT Computer Science ranks No. 10 nationally, tied with the California Institute of Technology and the University of Michigan.

The job of building computer networks that train and run large AI models is becoming increasingly complicated because ...

Greg Plaxton is a professor of Computer Science at the University of Texas at Austin. His research addresses the design and analysis of efficient algorithms for various basic computational problems, ...

Time/Location/Unique number. TTh 3:30-5:00, TAY 3.144, #51110. Instructor. David Zuckerman ([email protected]). Course overview. Randomization is very useful in almost all areas of computer science, ...

Thanks to Don Slater at CMU for letting me use this page. Important. Download and install Java first per these instructions then download and install the Eclipse IDE per these instructions. Other ...

MEMOCODE 2015: 13th ACM-IEEE International Conference on Formal Methods and Models for System Design (Sept. 21-23, 2015) SAT 2015: 18th International Conference on Theory and Applications of ...

The University of Texas at Austin has been selected to lead the NSF-Simons AI Institute for Cosmic Origins, a new $20 million ...

My main research interest is in computational theories of the brain with emphasis on human vision and motor control. In 1985 Chris Brown and I led a team that designed and built a high speed binocular ...

Our students and faculty are changing the world through their contributions to computing education, research, and industry. These awards received by members of the UT Computer Science community make ...

"The idea that we learn by interacting with our environment is probably the first to occur to us when we think about the nature of learning. When an infant plays, waves its arms, or looks about, it ...