Artificial Intelligence

Carnegie Mellon has been a leader in Artificial Intelligence (AI) research since Herbert Simon and Allen Newell invented the field in the 1950s. Since then, AI has evolved to address problems of probabilistic and numeric nature, leading to the incorporation of approaches from mathematics, engineering, operations research and economics. 

Our researchers scientifically build upon each others’ work, and research from other disciplines, creating analytical and highly systematic experimental work. The resulting AI systems can deal with uncertainty — both in an objective sense and in the sense that arises in those AI applications that include non-trivial perception.

Carnegie Mellon Poker AIThe explosion of computerized information on the Internet, in data warehouses, and from physical sensory artifacts has also created large-scale problems for AI research. Carnegie Mellon has been at the forefront of that progress, with pioneering innovations in intelligent digital libraries, data representations and algorithms, market clearing technologies, and complex task-embedded robotic applications. Carnegie Mellon faculty are recognized for their leadership in expanding beyond monolithic AI to multiagent systems, where the key challenge is the intelligent interaction of multiple parties. Finally, Carnegie Mellon faculty have led AI from the abstract (“Can one build a thinking machine?”) to a host of concrete applications and techniques that are significantly improving the world.

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Carnegie Mellon Launches Artificial Intelligence Initiative

Carnegie Mellon Solidifies Leadership Role in Artificial Intelligence

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On Campus

Faculty working in this area:

Last First Title Emailsort descending
Gupta Anupam Professor
Rudnicky Alexander Emeritus Faculty
Faloutsos Christos Professor
Datta Anupam Associate Professor, CSD, ECE
Touretzky David Research Professor
Woodruff David Associate Professor
Xing Eric P. Professor
Wactlar Howard Research Professor Emeritus
Hodgins Jessica Allen Newell University Professor of Computer Science And Robotics
Mason Matthew Professor, Computer Science and Robotics
Maxion Roy Research Professor
Erdmann Michael Professor, Computer Science and Robotics
Mitchell Tom Affiliated Faculty, E. Fredkin University Professor, Faculty Founders University Professor
O'Toole Matthew Assistant Professor
Shah Nihar Assistant Professor
Balcan Nina Professor
Pollard Nancy Professor
Dannenberg Roger Professor of Computer Science, Art & Music
Reddy Raj Moza Bint Nasser University Professor; Affiliated Faculty
Simmons Reid Research Professor
Rosenfeld Roni Affiliated Faculty; Department Head, Machine Learning Department; Professor
Sandholm Tuomas Angel Jordan University Professor of Computer Science
Fahlman Scott Research Faculty Emeritus
Sleator Daniel Professor
Lee Tai-Sing Professor
Veloso Manuela M. Professor Emeritus
Jia Zhihao Assistant Professor
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