Home - minds.ai. Artificial Intelligence. OpenAI. OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Since our research is free from financial obligations, we can better focus on a positive human impact. We believe AI should be an extension of individual human wills and, in the spirit of liberty, as broadly and evenly distributed as possible.
The outcome of this venture is uncertain and the work is difficult, but we believe the goal and the structure are right. We hope this is what matters most to the best in the field. Background Artificial intelligence has always been a surprising field. The past few years have held another flavor of surprise. This approach has yielded outstanding results on pattern recognition problems, such as recognizing objects in images, machine translation, and speech recognition.
Looking forward OpenAI. Artificial Intelligence (AI), Logic Programming, Machine Learning, Expert Systems, etc. Artificial Intelligence (AI), Logic Programming, Machine Learning, Expert Systems, etc.
Related Book Categories: Learning Deep Architectures for AI (Yoshua Bengio) This book discusses the motivations for and principles of learning algorithms for deep architectures. By analyzing and comparing recent results with different learning algorithms for deep architectures, explanations for their success are proposed. Logic Programming in Scheme (Nils M. Holm) Questions answered in this little book: What is logic programming? MyCBR. Case-Based Reasoning Resources. (parts adapted with permission from Ashwin Ram's course at Georgia Tech) Case-based reasoning (CBR) is a family of artificial intelligence techniques, based on human problem solving, in which new problems are solved by recalling and adapting the solutions of similar past problems.
CBR is an active area of research and has also been adopted by many companies such as AT&T, British Airways, Cisco, Daimler, Benz, Dell, GE, Intel, Lockheed, Nokia, Siemens, and Visa, to name but a few. What is all the excitement about? What is CBR, how does it work, how is it applied, what research is ongoing to improve it? We'll discuss a range of topics: case representation, indexing and retrieval, similarity assessment, adaptation, and learning. Essential Texts Case-Based Reasoning - a textbook (2013). Recommended Texts J.L. Lecture Notes All in Acrobat pdf format (note: not all presentations or all slides may have been used during the lectures but they're all interesting). Background Reading Software Resources. Cbrwiki. David W. Aha: CBR Resources. Suggestions welcome Applications | Bibliographies | Books | Commercial | Conferences | Courses | Home Pages | Information | Journals | Mailing Lists | Medicine | Projects | Research Groups and Projects | Research Software | Talks and Tutorials Applications List of Applications Commercial CBR Applications (Ian Watson; a comprehensive list) Virtual Travel Agency (Humboldt University, Berlin) Wayland (University of Wales) Companies that Have Applied CBR Technology (New, Incomplete List) 3Com Applied Research Projects CaBaTA (Mario Lenz; A case-based travel agent) Check In (Partner, nicer WWW environment) Berliner Flugring (An additional application) Questionnaire on Applications FABEL (Building Design) INRECA Bibliographies Books Commercial Conference Announcements Courses Home Pages Information Journals Mailing Lists Medicine Projects Research Groups and Projects Research Software (Updated Completely on 2 July 2004) CaseAdvisor 4 and CaseAdvisor Webserver (ISA Research) Caspian (U.
Credits. Integrating Planning Learning PRODIGY JETAI 1995. PRODIGY project home page. This is the home page for the PRODIGY Project on the world-wide web.
We are not maintaining this software any longer. We apologize! Please note: this project has nothing to do with the on-line service of the same name! We cannot handle your membership or service requests for prodigy.com The PRODIGY Project, led by Manuela Veloso (originally began by Jaime Carbonell), is an architecture for planning and learning. Prodigy learning modules (from a paper in JETAI) Get a copy of Prodigy (version 4.0). Correspondence: Michael Cox at firstname.lastname@example.org. CMU AI Repository.