A woven bunny sculpture showcases research using algorithms to design complex 3D structures from simple strips of material.

One panel, “Reimaging Work in the Age of AI Agents,” focused on the ongoing rise of agentic AI in the workplace. Right off ...

UT Computer Science ranks 10th nationally with four “specialties,” or areas of research; also ranked in the top ten at UTCS: Artificial Intelligence moving up to 7th, Programming Languages ranked 7th, ...

All hounds howl at night. Anyone who has any cats will not have any mice. Light sleepers do not have anything which howls at night. John has either a cat or a hound. (Conclusion) If John is a light ...

Spring 2026: 53375 (58), 53380 (58) 12 Jan - 27 Apr 2026 MWF 10 am & 11 am: RLP 1.106 https://gitlab.com/gpdowning-ut/cs373/ https://www.cs.utexas.edu/~utpc/ ...

This course provides an introduction to the design and implementation of modern data lakehouses, structured around three core pillars. The first pillar focuses on advanced data modeling. Students will ...

Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.

circuit complexity, lower bound methods, algorithms, and combinatorics. Jeff Ford, ``Lower Bound Methods for Multiparty Communication Complexity'', Ph. D. May 2006. Vladimir Trifonov, ``Techniques for ...

Recent work has shown that deep neural networks are capable ofapproximating both value functions and policies in reinforcementlearning domains featuring continuous state and actionspaces. However, to ...

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

One vision of a future artificial intelligence (AI) is where many separate unitscan learn independently over a lifetime and share their knowledge with eachother. The synergy between lifelong learning ...