Research

02/15/2012 - Congratulations to Associate Professor Kristen Grauman and Michael Walfish! Both were recently awarded Alfred P. Sloan Research Fellows.

02/06/2012 - The future looks like this: You are sitting in the backseat of the car drinking coffee and reading the news on your tablet.

01/25/2012 - UTCS is a leading research institution in computer science. Collaborations with industry and industry support ensure superior research continues to move the Texas digital economy forward.

01/25/2012 - Prediction markets are popular for aggregating opinions regarding the likelihood of future events by enabling people to buy and sell "shares" that indicate whether or not they think the event will happen. There has been some evidence that the market prices are reasonably accurate predictors of whether those events will actually happen.

01/20/2012 - Image

12/02/2011 - UTCS undergraduate students Ben Braun and Victor Vu have been selected for Honorable Mention in the Computing Research Association's Outstanding Undergraduate Researcher Award competition for 2012.

11/18/2011 - AUSTIN, Texas — As part of its research efforts to help create safer and faster computing, the Department of Computer Science at The University of Texas at Austin has partnered with SunGard Availability Services to improve emerging cloud-based technologies through a new center for cloud computing research.

11/14/2011 - Brent Waters has won a Packard Fellowship. Only sixteen Packard Fellowships were awarded this year across all of science and engineering.

11/14/2011 - Setting yet another milestone in multicore innovation, Texas Instruments Incorporated (TI) and the University of Texas at Austin (UT Austin) have successfully ported UT Austin's libflame library, a dense linear algebra library for scientific computing, to TI's TMS320C6678 multicore digital signal processor (DSP).

11/13/2011 - As an educator, associate computer science professor Peter Stone has a unique perspective on who, or what, can learn. Stone has spent his time at UT working with students to develop intelligent robots capable of learning and adapting to their environments.