Research Areas : Artificial Intelligence

In the past decade, an abundance of data has become available, such as online data on the Web, scientific data such as the transcript of the human genome, sensor data acquired by robots or by the buildings we inhabit. Turning data into information pertaining to problems that people care about, is the central mission of AI research at Stanford.

Members of the Stanford AI Lab have contributed to fields as diverse as bio-informatics, cognition, computational geometry, computer vision, decision theory, distributed systems, game theory, image processing, information retrieval, knowledge systems, logic, machine learning, multi-agent systems, natural language, neural networks, planning, probabilistic inference, sensor networks, and robotics.

Faculty

Research Focus

Russ B. Altman	biomedical informatics, bioengineering, biophysics, genetics
Serafim Batzoglou	computational genomics
Gill Bejerano	computational genomics
Atul J. Butte	biomedical informatics
Atul Butte	translational bioinformatics
Ed Feigenbaum	knowledge-based systems
Richard Fikes	knowledge representation
Mike Genesereth	computational logic, semantic web, computational law, enterprise management, general game playing
Leonidas Guibas	computational geometry, image processing, graphics, computer vision, sensor networks, robotics, discrete algorithms
Daniel Jurafsky	computational linguistics, speech recognition, natural language
Oussama Khatib	robotics, haptics, motion planning
Daphne Koller	probability theory, decision theory, game theory, probabilistic inference
Jean-Claude Latombe	robot-assisted surgery, integration of design and manufacturing, digital actors, molecular motions
Jure Leskovec	mining and modeling large social and information networks
Michael Levitt	biomedical informatics
Fei-Fei Li	computer vision
Chris Manning	natural language processing, information retrieval,
John McCarthy	formal reasoning
Mark D. Musen	biomedical informatics
Clifford I. Nass	language, speech
Andrew Ng	machine learning, reinforcement learning/control, broad-competence AI
Nils Nilsson	robotics
Kenneth Salisbury	robotics, haptics, computer-aided surgery
Yoav Shoham	logic, multi-agent systems, game theory, electronic commerce
Sebastian Thrun	robotics, machine learning, probabilistic methods