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.
Title:
Professor of Computer Science and of Electrical Engineering
Research Focus:
robotics, machine learning, probabilistic methods
Title:
Professor of Computer Science
Research Focus:
logic, multi-agent systems, game theory, electronic commerce
Title:
Professor (Research) of Computer Science and of Surgery
Research Focus:
robotics, haptics, computer-aided surgery
Title:
Professor of Computer Science, Emeritus
Title:
Professor of Computer Science, Emeritus
Title:
Assistant Professor of Computer Science and of Linguistics
Research Focus:
natural language processing, information retrieval
Research Focus:
mining and modeling large social and information networks
Title:
Associate Professor of Computer Science
Research Focus:
probability theory, decision theory, game theory, probabilistic inference
Title:
Professor of Computer Science
Research Focus:
robotics, haptics, motion planning
