Artificial Intelligence

AI addresses the challenges of machine cognition, spanning the theoretical and empirical across diverse subfields such as machine learning, computer vision, NLP, and robotics.

Topics

Computer vision
Evolutionary computation
Machine learning
Multimodality
Natural language processing
Neural networks
Reinforcement learning
Robotics

Faculty & Researchers

Faculty & Researchers
Affiliated & Emeritus
Dana Ballard
Professor
Joydeep Biswas
Assistant Professor
William Bulko
Assistant Professor of Instruction
Anna Chaney
Assistant Professor of Instruction
Swarat Chaudhuri
Associate Professor
Eunsol Choi
Assistant Professor
Inderjit Dhillon
Professor
Işıl Dillig
Associate Professor
Greg Durrett
Assistant Professor
Hans Ulrich Grasemann
Research Scientist
Kristen Grauman
Professor
Justin Hart
Assistant Professor of Practice
David Harwath
Assistant Professor
Qixing Huang
Assistant Professor
Alexander Huth
Assistant Professor
Adam Klivans
Professor
Philipp Krähenbühl
Assistant Professor
Qiang Liu
Assistant Professor
Roberto Martin-Martin
Assistant Professor
Raymond Mooney
Professor
Scott Niekum
Associate Professor
Gordon Novak
Professor
Amy Pavel
Assistant Professor
Shahaf Shperberg
Postdoctoral Fellow
Peter Stone
Professor
Yoonchang Sung
Postdoctoral Fellow
Xuesu Xiao
Postdoctoral Researcher
Yulin Zhang
Postdoctoral Researcher Fellow
Yuke Zhu
Assistant Professor
Constantine Caramanis
Professor, Department of Electrical and Computer Engineering
Alexandros Dimakis
Associate Professor, Department of Electrical and Computer Engineering
Katrin Erk
Professor, Department of Linguistics
Joydeep Ghosh
Professor, Department of Electrical and Computer Engineering
Benjamin Kuipers
Professor Emeritus
Matthew Lease
Professor, School of Information
Vladimir Lifschitz
Professor Emeritus
Rudolf Lioutikov
Assistant Professor of Practice, College of Natural Sciences
David Zhigang Pan
Professor, Department of Electrical & Computer Engineering
Ufuk Topcu
Associate Professor Cockrell Family Dean's Chair for Engineering Excellence
Andrew Whinston
Professor, Red McCombs School of Business

Centers & Labs

AI Laboratory
Autonomous Mobile Robotics Laboratory
Building-Wide Intelligence Project
Data Mining Laboratory
Good Systems
Institute for Foundations of Machine Learning
Learning Agents Research Group
Machine Learning Lab
Machine Learning Research Group
Neural Networks Research Group
Personal Autonomous Robotics Lab (PeARL)
Robot Perception and Learning Lab
TAUR Lab
Texas Robotics
TRIPODS
UT Austin Villa Robot Soccer Team
Virtual Reality Lab

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