Topics and links in Articial Intelligence and Pattern Recognition

• Bayesian techniques
• Semantic extraction and storage
• Neural net based systems and libraries
• Neural research and other projects
• Support Vector Machines libraries
• Interesting AI Research and applications
• Interesting and accomplished folks in AI
• Books on pattern recognition and artificial intelligence
• Assorted links of interest to AI, machine learning, pattern-recognition, and other HAL-builder-wannabes

• A nice introduction to Bayes Theorem will be handy for any user of Bayes Theorem based tools
• AutoClass C is an unsupervised Bayesian classification system that seeks a maximum posterior probability classification.

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• ThinkMap is a company providing technology on semantic-map like graphing between text nodes and semantic content

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• NeuroDimension
• Laboratory for Neural Computation at USC
• Amygdala is open-source software for simulating spiking neural networks (SNNs)

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• Doug Rhohde page at MIT has some interesting explorations into neural networks for symbol and sentence extraction and parsing
• Computational Neuroscience page at University of Stirling, Scotland has some interesting research projects and some interesting pages on Biologically Inspired Engineering
• A truly remarkable bit of biological and electrical engineering is the most direct implementation of a neural network I have ever heard of..

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• SVM Light

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• JPL AI Group is all about using AI in space!
• Interesting commentary called: Is logic a good model for brain function?
• MIT Computer Science and AI lab

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• Peter Norvig, currently the Director of Research at Google.com has a nice set of publications, links and assorted other bits; this site takes some time to browse and appreciate..
• Paul Graham is one of the more quoted pundits on programming and other technical undertakings. I am not necessarily certain that he is an AI person, per se, although I am quite certain he is a Lisp person, and an all-around smart guy. His commentaries and other writings are certainly worth the time to read....

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• Simulation for the Social Scientist is a great paper with lots of interesting comments on the nature of classification
• Book:Neural and Adaptive Systems: Fundamentals Through Simulations
• Book: Artificial Intelligence: A Modern Approach

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• Tesseract page on Topics in data mining, text and information retrieval, and search engines
• kernel-machines.org with much information on Support Vector Machines and related techniques
• Journal of Machine Learning Research, also available as a free weekly electronic mag...
• Computational Learning Theory
• Loom and PowerLoom are knowledge representation languages developed by researchers in the Artificial Intelligence research group at the University of Southern California's Information Sciences Institute. The Loom project's goal is the development and fielding of advanced tools for knowledge representation and reasoning in Artificial Intelligence.
• "T2" (Terminator 2) and Technology by Larry Yeager a researcher in ALife, AI, CFD and other topics, as well as an advisor to film and TV directors on the subject of AI; neat little read....

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