As artificial intelligence workloads grow, the computing systems behind them must deliver faster, more reliable results while making better use of available hardware. Assistant Professor Daehyeok Kim ...

please read FAQ before emailing me. Background image is the atrium of the Gates Dell Complex (GDC), which houses the Computer Science Department at UT Austin. David Zuckerman is a Professor and ...

David Pardoe and Peter Stone.

Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...

Recent work has shown that deep neural networks are capable of approximating both value functions and policies in reinforcement learning domains featuring continuous state and action spaces. However, ...

I am a professor in the Department of Computer Science at the University of Texas at Austin. I am also a core member of Texas Robotics. I currently hold the Rajaram Family Professorship. I have ...

I'm currently a freshman at UT Austin studying Computer Science and planning on minoring in Statistics and Data Science. Computer science has always been a thing I've enjoyed, so being able to be ...

My main research interest is in computational theories of the brain with emphasis on human vision and motor control. In 1985 Chris Brown and I led a team that designed and built a high speed binocular ...

AI is rapidly moving beyond digital benchmarks into the physical world, where it must perceive noisy environments, interact with people and devices, operate under resource constraints, and remain ...

Content: This undergraduate course will cover the basics of algorithms and complexity, including dynamic programming, greedy algorithms, graph algorithms, linear programming, and NP-hardness.

Undergraduate CS student, Class of 2030 — building at the seam between software and hardware. Austin & Round Rock, Texas Software Engineering Intern at Polaris Inc. Embedded systems & applied AI I ...

A machine defines (by its very structure) a language, viz. its input language: conversely, the semantic definition of a language specifies a machine that understands it. In other words: machine and ...