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 ...

Imitation from observation (IfO) is the problem of learning directly from state-only demonstrations without having access to the demonstrator's actions.The lack of action information both ...

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 ...

UT Computer Science mourns the loss of Professor Emeritus E. Allen Emerson, winner of the most prestigious award in computer science and a faculty member in the Department of Computer Science at The ...

I'm an assistant professor in the Computer Science Department and the Institute for Computational Engineering and Sciences (ICES) at the University of Texas at Austin. I was a PhD student at the ...

Brian is interested automating military simulations using machine learning methods such as neuroevolution. In his thesis he used NEAT to place scouts to best observe opponent agents. After graduation ...

We introduce a new entity typing task: given a sentence with an entity mention, the goal is to predict a set of free-form phrases (e.g. skyscraper, songwriter, or criminal) that describe appropriate ...

The advent of architectures with multi-level memories, including caches, shared memories, and distributed memories, has forced a re-evaluation of how linear algebra libraries are developed.

It is a misnomer. As Edsger Dijkstra used to say "Computer Science is no more about computers than astronomy is about telescopes". Computer Science is closely related to mathematics. It is the study ...

Consistently ranked as one of the nation’s top ten graduate programs in computer science, UT Computer Science is proud to be able to say that the education our students receive is second to none.