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Discover the latest developments in Artificial Intelligence at the University of Wisconsin, including courses like Introduction to AI and Machine Learning for Text Analysis. Explore AI applications in image-guided surgery, natural language systems, and genome analysis. Stay informed with seminars by esteemed faculty. For more information, visit www.cs.wisc.edu/~shavlik/uwai.html.
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AI: Just Do It! Artificial Intelligence at the University of Wisconsin David Page
AI Recently • ATP solves long-standing open questions in mathematics. • Computer vision in image-guided surgery. • Natural language systems on the Web, populating DBs from text. • Machine learning used to analyze genome and gene chip data. • Bayes nets in PC operating systems, medical diagnosis, etc.
Fall Courses • CS 540: Introduction to AI, Jude Shavlik • CS 638: Intro to Bioinformatics, Thomas Anantharaman • CS 731: Advanced AI, David Page • CS 766: Computer Vision, Chuck Dyer • CS 838: Machine Learning for Text Analysis, Mark Craven and Jude Shavlik
Spring Courses • CS 540: Intro to AI • CS 760: Intro to Machine Learning, Jude Shavlik • CS 838: Advanced Bioinformatics, Mark Craven
CS 838: Machine Learning for Text Analysis • given: a target relation, text sources • do: extract instances of the relation from the text sources HSP-17 is a collagen-binding stress protein and is thought to be a collagen-specific molecular chaperone, which plays a pivotal role in during the biosynthesis and secretion of collagen molecules in the endoplasmic reticulum. subcellular-localization(collagen, endoplasmic-reticulum)
More Information on AI at UW: • See www.cs.wisc.edu/ ~shavlik/uwai.html • Other faculty, including Lumelsky (on leave at NSF) • AI Seminar List
Seminar This Week • Andy Barto • Reinforcement Learning • Wednesday, 8/30 • 4pm • Room 2310