Artificial Intelligence

TrapitTrapit uses artificial intelligence to understand your interests and personalize the web for you.

START, the world's first Web-based question answering system, has been on-line and continuously operating since December, 1993. It has been developed by Boris Katz and his associates of the InfoLab Group at the MIT Computer Science and Artificial Intelligence Laboratory. Unlike information retrieval systems (e.g., search engines), START aims to supply users with "just the right information," instead of merely providing a list of hits. Currently, the system can answer millions of English questions about places (e.g., cities, countries, lakes, coordinates, weather, maps, demographics, political and economic systems), movies (e.g., titles, actors, directors), people (e.g., birth dates, biographies), dictionary definitions, and much, much more. Below is a list of some of the things START knows about, with example questions. You can type your question above or select from the following examples.

The first Semantic Engine that learns Add a semantic flavor to your apps. With  Meaningtool you can create your own   Semantic Trees and let its intelligence    learn new concepts to filter and categorize     websites, text and users in any language!

The journal serves as a forum favoring the dissemination of interdependent and interdisciplinary research involved in information retrieval, database, human-machine communication and artificial intelligence. The recent developments in these fields call for cross-discipline collaborations and perspectives. The I3 journal intends to promote inter-disciplinarity working at the development of common terminology, concepts, typologies, methods and ontologies and aiming at the identification of a unified perspective on research issues. The journal is disseminated both as a traditional paper publication (published by Cépaduès http://www.cepadues.com/) and as an electronic journal on the web (http://www.journal-i3.org/).

Our basic research question is: How can people and computers be connected so that-collectively-they act more intelligently than any individuals, groups, or computers have ever done before?'

Called the journal of record for the AI community, AI Magazine helps AAAI members stay abreast of significant new research and literature across the entire field of artificial intelligence. This quarterly publication features timely, feature-length articles, consistently crafted to be clear enough to permit specialists to review work outside their particular area of expertise.

International Journal of Emerging Trends in Computing and Information Sciences (E-ISSN 2218-6301/ ISSN 2079-8407) is an International refereed research publishing journal with a focused aim of promoting and publishing original high quality research dealing with theoretical and scientific aspects in all disciplines of Computing and Information Sciences.

MIT Press CISnet brings together many of the MIT Press?s recent and classic titles in computer and information science in a fully searchable online library. Subscribers have access to a growing collection of MIT Press books on topics including programming, artificial intelligence, machine learning, human computer interaction, databases, digital libraries, networking, and robotics. CISnet is accessible from any computer with an Internet connection and from Web-enabled handhelds including the iPhone.

ai-one™ - biologically inspired intelligence. We sell software development kits (SDKs) for machine learning applications. We give programmers a virtual brain so they can build artificial intelligence into any software application. Unlike other machine learning tools, our technology works in any language, works with any data and learns quickly without human intervention.

This page links to 820 pages around the web with information on Artificial Intelligence. Links in Bold* followed by a star are especially useful and interesting sites. Links with a + sign at the end have "tooltip" information that will pop up if you put your mouse over the link for a second or two.

In the field of artificial intelligence, the most difficult problems are informally known as AI-complete or AI-hard, implying that the difficulty of these computational problems is equivalent to solving the central artificial intelligence problem-making computers as intelligent as people, or strong AI.[1] To call a problem AI-complete reflects an attitude that it would not be solved by a simple algorithm.

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

Computer Science is a branch of science that focuses on the theoretical and methodological implementation of computational based information processes and computer technologies in both hardware and software. Theoretical fields include such areas as information theory, database and information retrieval and programming language theory. Applied computer science features areas of study such as artificial intelligence, computer architecture, computer security and software engineering.

The Automated Mathematician (AM) is one of the earliest successful discovery systems. It was created by Doug Lenat in Lisp, and in 1977 led to Lenat being awarded the IJCAI Computers and Thought Award. AM worked by generating and modifying short Lisp programs which were t

Cyc is an artificial intelligence project that attempts to assemble a comprehensive ontology and knowledge base of everyday common sense knowledge, with the goal of enabling AI applications to perform human-like reasoning. The project was started in 1984 by Douglas Lenat at MCC and is developed by company Cycorp. Parts of the project are released as OpenCyc, which provides an API, RDF endpoint, and data dump under an open source license.

The EconCS Group pursues research, both theoretical and experimental, at the intersection between computer science and economics.

MIT Computer Science and Artificial Intelligence Laboratory

Putting the power of Machine Learning in your hands. Our goal is to make machine learning simple and beautiful. Our service can take the complexities out of creating a high-availability, low-latency Machine Learning system created especially for your data. You will not only gain valuable insights from your data, you will most likely enjoy it. From the developer, to the researcher, to the multinational corporation, BigML has something that can uncover the hidden predictive power of your data. BigML wants to make you the master of your data.

German Research Center for Artificial Intelligence, with sites in Kaiserslautern, Saarbrücken, Bremen and Berlin, is the leading German research institute in the field of innovative software technology. In the international scientific community, DFKI ranks among the most recognized "Centers of Excellence".