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Fundamental and experimental research laboratory at George Mason University focusing on the development of intelligent systems with advanced forms of learning, inference, and knowledge generation capabilities.

University of Toronto department specializes in conducting research in machine learning, computer vision, and computational molecular biology.

Dedicated to researching new and more effective ways to enable robots to learn from experience. Covers theoretical considerations, basic algorithmic design, and practical implementations and demonstrations.

Undertakes research in the areas of machine learning and inductive reasoning, data mining and knowledge discovery in databases, and knowledge management and personalization.

Conducts research focusing on the computational foundations of intelligent behavior including machine learning, knowledge representation, and natural language processing.

Site presents details on the group's research projects, publications, papers, seminars, and related resources.

Provides information on the lab's people, publications, and related links and resources.