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KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers.

A free, online version of "Introduction to Artificial Intelligence", taught by Sebastian Thrun and Peter Norvig. A syllabus and more information about the Stanford course is available here. You can sign up here to receive more information about the online version when it becomes available.

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importan

Researchers at Stanford University in the US have developed new sensors that can be adhered to the skin for wireless monitoring of health. The sensors are designed to identify the physiological signals that the skin emanates, such as pulse. These readings will be wirelessly transmitted to a receiver clipped onto clothing. The sensor and receiver system has been named BodyNet.