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 ...
Deep Proteins researchers draw on lessons from many disciplines, for example, to develop an AI technique called EvoRank that ...
The job of building computer networks that train and run large AI models is becoming increasingly complicated because ...
UT Computer Science ranks No. 10 nationally, tied with the California Institute of Technology and the University of Michigan.
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 ...
This program solves simple math and physics problems stated in English.
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning. Matthew E. Taylor, Peter Stone, and Yaxin Liu. Journal of Machine Learning Research, 8(1):2125–2167, 2007.
Patrick MacAlpine and Peter Stone.
Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...
Though computers have surpassed humans at many tasks, especially computationally intensive ones, there are many tasks for which human expertise remains necessary and/or useful. For such tasks, it is ...
The University of Texas at Austin has been selected to lead the NSF-Simons AI Institute for Cosmic Origins, a new $20 million ...
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