Department of Computer Science - University of Texas at Austin

This is Not a Bunny: The Research Path from Whimsy to Better Spacecraft Fabrication

The bunny you’re looking for is not the furry, cute animal you’re imagining. It’s a woven structure made from hundreds of ...
Department of Computer Science - University of Texas at Austin

Panel: Is AI Really Coming for Your Job? Agentic AI and the Future of Work

One panel, “Reimaging Work in the Age of AI Agents,” focused on the ongoing rise of agentic AI in the workplace. Right off ...
Department of Computer Science - University of Texas at Austin

UT Austin Computer Science Ranked 10th Best in the Country

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, ...
www.cs.utexas.edu

Cache Replacement Competition

07/03/2017 - Professor Calvin Lin and grad student Akanksha Jain won the 2nd Cache Replacement Competition, which was held recently in conjunction with the International Symposium on Computer ...
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CS373: Software Engineering

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/ ...
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Resolution Example and Exercises

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 ...
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A collective AI via lifelong learning and sharing at the edge

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 ...
www.cs.utexas.edu

Multiagent Systems: A survey from a machine learning perspective

Multiagent Systems: A survey from a machine learning perspective. Peter Stone and Manuela Veloso. Autonomous Robots, 8(3):345–383, July 2000. @Article(MASsurvey, Author="Peter Stone and Manuela Veloso ...
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Artificial Intelligence and Life in 2030

Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...
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Transfer Learning for Reinforcement Learning Domains: A Survey

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

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 ...
www.cs.utexas.edu

Mobile Computing with Android

Course summary slides SQL and how it is used in the Notebook demo Firebase Rate limiting Maps For course videos, feel free to listen at 1.25x or 1.5x, the Global Speed controller plugin for Chrome ...