News
December 4, 2019Oden Institute director leads effort to create virtual UAVs that can predict vehicle health, enable autonomous decision-making
November 21, 2019The Sony Corporation chose Peter Stone, a faculty member in the College of Natural Sciences at The University of Texas at Austin, to lead the newly established Sony AI in the United States.
November 6, 2019$1.5M award from National Science Foundation will support cross-disciplinary machine learning and data science research
October 23, 2019
June 18, 2019Two hundred and forty Texas Computer Science students participate in a data mining and analytics competition hosted by SparkCognition.
May 17, 2019Computer scientists have thwarted programs that can trick AI systems into classifying malicious audio as safe.
May 16, 2019
April 19, 2019
March 9, 2018Machine Learning research at the University of Texas is about to get a boost with the award of $1.4 million from the Department of Defense.
March 1, 2018
January 1, 2018
November 2, 2017UTCS Professor Kristen Grauman received the 2017 Helmholtz Prize last week at the International Conference on Computer Vision.
November 2, 20177 papers from the group were accepted to the 2018 International Conference on Learning Representations (ICLR).
October 8, 2017Peter Stone was interviewed for Manuel Sagars' upcoming documentary on "Digital Transformation." You can watch the interview or read the transcript
September 21, 2017
June 1, 2017UT Professor Peter Stone is features in this article from the AAAS Science Magazine.
May 24, 2017The Robotics Consortium is a new initiative from UT Austin that seeks to forge a close relationship between university faculty and graduate students in robotics and our natural partners in industry.
May 24, 2017We invite you to join us to learn about UT's newly launched Robotics Consortium at the our kick-off showcase event (RSVP required).
January 24, 2017Profs. Niekum, Sentis, Stone, and Thomaz were selected to receive an HSR robot from Toyota and will participate in the first RoboCup@Home Standard Platform League in Nagoya, Japan during the summer of 2017.
We had a full house for the Machine Learning Lab Public Lecture on April 1. Alex Dimakis presented "AI for Accurate and Fair Imaging" and discussed recent research that illuminated the real-world impact of bias in AI algorithms.
Connecting computer scientists and engineers with clinicians to tackle actionable AI/Health projects.
Edison Thomaz, Associate Professor and William H. Hartwig Fellow, Electrical and Computer Engineering, UT Austin