Artificial Intelligence Laboratory
- UTCS AI-Lab
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The Laboratory for Artificial Intelligence opened in 1983, but AI research at the University of Texas began years earlier with pioneering efforts by Woody Bledsoe and Bob Simmons. The Lab has expanded to seven faculty in core areas of AI, about 50 Ph.D. students, numerous research staff, and a dozen affiliated faculty in related departments.
We continue to investigate the central challenges of machine cognition, especially machine learning, knowledge representation and reasoning, and robotics. Our faculty and graduate students are some of the best (the Lab was ranked fifth in the country by US News). We invite you to browse our research projects and reports, visit us in Austin, and make the Lab your intellectual home as a professor, researcher, or graduate student.
Projects: Automatic Programming, Intelligent Robotics, Knowledge Representation & Reasoning, Learning Agents, Neural Networks, Texas Action Group.
Areas: Cognitive Science, Computational Neuroscience, Computer Vision, Evolutionary Computation, Knowledge Representation & Reasoning, Machine Learning, Mathematical Foundations, Multiagent Systems, Natural Language Processing, Reinforcement Learning, Robotics, Statistical Learning, Applications.
Other Areas: Algorithm Portfolios, Automatic Programming, Computational Complexity, Game Theory, Multiobjective Optimization, Planning, Virtual Reality.
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Kristen L Grauman
ProfessorProfessorship in Computer Sciences #4 (Holder) | Distinguished Teaching ProfessorArtificial Intelligence, Data Mining, Machine Learning, Natural ComputationVladimir Lifschitz
Professor EmeritusProfessorship in Computer Sciences #2 (Emeritus)Artificial Intelligence, Formal MethodsRisto P Miikkulainen
ProfessorArtificial Intelligence, Data Mining, Machine Learning, Natural ComputationRaymond J Mooney
ProfessorProfessorship in Computer Sciences #3 (Holder)Artificial Intelligence, Data Mining, Machine Learning, and Natural ComputationJ S Moore II
Professor EmeritusAdmiral B. R. Inman Centennial Chair in Computing Theory (Emeritus)Formal Methods, SecurityPeter H Stone
ProfessorTruchard Foundation Chair in Natural Sciences (Holder) | Distinguished Teaching ProfessorArtificial Intelligence, Data Mining, Machine Learning, and Natural Computation