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Artificial Intelligence Depot

Artificial Intelligence Depot
The AI Depot is a website dedicated to helping you solve problems using artificial intelligence. Less hype, more results! Over the decades, AI research has provided numerous techniques for making real-world software more intelligent. Programmers: learn more about AI. Software Users: start solving problems. You too can start applying artificial intelligence in practice — regardless of your background.

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Noam Chomsky on Where Artificial Intelligence Went Wrong - Yarden Katz An extended conversation with the legendary linguist Graham Gordon Ramsay If one were to rank a list of civilization's greatest and most elusive intellectual challenges, the problem of "decoding" ourselves -- understanding the inner workings of our minds and our brains, and how the architecture of these elements is encoded in our genome -- would surely be at the top.

AIspace These tools are for learning and exploring concepts in artificial intelligence. They were developed at the Laboratory for Computational Intelligence at the University of British Columbia under direction of Alan Mackworth and David Poole. They are part of the online resources for Artificial Intelligence: Foundations of Computational Agents. If you are teaching or learning about AI, you may use these tools under the terms of use. Feedback is welcome. Site Map: Open Source Project Aims to Create Human Level Artificial Intelligence The Short: Researches across the globe are making daily advances towards the development of human level artificial intelligence, but sadly the algorithms and the software that represent these advances often remain hidden within researcher’s computer labs, out of reach for others to review and build upon. Enter OpenCog, an entire website dedicated to the development and distribution of artificial intelligence tools, software, and resources that are open source and freely available for anyone to use and modify. Opencog’s ultimate goal is to develop true human level artificial intelligence, but even if Opencog fails to achieve this most ambitious of goals the project still seems poised to bring many other significant benefits to the AI community.

Main page - Introduction to Genetic Algorithms - Tutorial with Interactive Java Applets These pages introduce some fundamentals of genetic algorithms. Pages are intended to be used for learning about genetic algorithms without any previous knowledge from this area. Only some knowledge of computer programming is assumed. You can find here several interactive Java applets demonstrating work of genetic algorithms. As the area of genetic algorithms is very wide, it is not possible to cover everything in these pages. But you should get some idea, what the genetic algorithms are and what they could be useful for.

Artificial General Intelligence in Second Life  Virtual worlds are the golden path to achieving Artificial General Intelligence and positive Singularity, Dr Ben Goertzel’s, CEO of Novamente LLC and author of “The Hidden Pattern: A Patternist Philosophy of Mind” explained in his presentation “Artificial General Intelligence in Virtual Worlds” given at the Singularity Summit 2007 earlier this month. According to Goertzel, Singularity is no longer a far future idea. About a year ago Goertzel gave a talk “Ten Years to a Positive Singularity — If We Really, Really Try.” Item-based Collaborative Filtering Recommendation Algorithms Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl {sarwar, karypis, konstan, riedl} GroupLens Research Group/Army HPC Research Center Department of Computer Science and Engineering University of Minnesota, Minneapolis, MN 55455 Copyright is held by the author/owner(s). WWW10, May 1-5, 2001, Hong Kong. Recommender systems apply knowledge discovery techniques to the problem of making personalized recommendations for information, products or services during a live interaction. These systems, especially the k-nearest neighbor collaborative filtering based ones, are achieving widespread success on the Web. The tremendous growth in the amount of available information and the number of visitors to Web sites in recent years poses some key challenges for recommender systems.

Open-Source A.I. Prof. Sebastian Thrun Leaves Stanford, Launches Startup "Udacity" Sebastian Thurn by Jurvetson via Flickr under CreativeCommons Stanford University professor Sebastian Thrun is giving up his job at Stanford to start Udacity – an online educational venture. The first two free courses from that site are “Building a Search Engine” and “Programming a Robotic Car.”

Category:Artificial intelligence From Wikipedia, the free encyclopedia Subcategories This category has the following 32 subcategories, out of 32 total. Pages in category "Artificial intelligence" The following 200 pages are in this category, out of 256 total. Topic:Artificial intelligence Artificial Intelligence Part of the School of Computer Science Four approaches summarize past attempts to define the field: The study of systems that think like humans.The study of systems that think rationally.The study of systems that act like humans.The study of systems that act rationally. Of these approaches, the former two are considered to be "white-box" approaches because they require our analysis of intelligence to be based on the rationale for the behaviour rather than the behaviour itself.

how to start working on opensource ai projects? I'm not sure if you mean infrastructure or an application? For infrastructure here's one example: I think the typical progression is: Join mailing lists. Try it out as a user (i.e. port your ML or CS373 homework solution(s) to it.) Discuss some bugs on the mailing lists.