ML People

The University of Texas has a large machine learning group with 28 faculty members and around 130 PhD students.

ML Research

Groups at the University of Texas study a broad range of topics including computer vision, graphics, natural language processing, robotics, theoretical machine learning, and more.

 

ML Education

Both undergraduate and graduate students have the opportunity to take a wide variety of machine learning and artificial intelligence related classes. These provide a foundational understanding of the field and an opportunity to get involved in research.

News & Events

Thu, 3/21/2018

Machine 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. The money provided will support a large new GPU cluster to accelerate research in deep learning, computer vision, robotics, and natural language processing.

11/02/2017

7 papers from the group were accepted to the 2018 International Conference on Learning Representations (ICLR). Additionally, Professor Kristen Grauman will be giving one of nine invited talks. Congratulations to Alex Dimakis, Adam Klivans, Kristen Grauman, Mingyuan Zhou, Qiang Liu, Risto Miikkulainen, and all their collaborators.

Thu, 05/24/2017

The 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.