Intersections of the Future: Using Fully Autonomous Vehicles
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.
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.
01/28/2012 - At the VSTTE conference, held as part of the POPL Symposium in Philadelphia, UTCS's very own ACL2 team was awarded one of the two Gold Medals in the 2012 VSTTE verification competition.
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.
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12/12/2011 - Professor Stephen Keckler, professor at The University of Texas at Austin Department of Computer Science, was awarded Fellow status with a citation "for contributions to computer architectures and technology modeling."
12/09/2011 - Professor Inderjit Dhillon and Assistant Professor Pradeep Ravikumar, together with their postdoc Ambuj Tewari, had remarkable success at The Neural Information Processing Systems (NIPS) Conference this year. They submitted seven papers and all were accepted. NIPS's acceptance rate is about 20%.
11/28/2011 - Yin Zhang, along with his former student Ajay Mahimkar (now at AT&T Research) and several other co-authors, won the Best Paper Award at ACM CoNEXT 2011.
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.