Artificial intelligence

SEMANTIC WEB for the WORKING ONTOLOGIST cuts through the hype around the Semantic Web, providing a simple, feasible, coherent story of a technology that provides real business value today.

We use artificial intelligence and natural language processing technology to find your writing errors and offer smart suggestions.

The Open Mind Initiative is a novel world-wide collaborative effort to develop 'intelligent' software. Open Mind collects information from people like you -- non-expert 'netizens' -- in order to teach computers the myriad things which we all know and which underlie our general intelligence but which we usually take for granted.

ConceptNet aims to give computers access to common-sense knowledge, the kind of information that ordinary people know but usually leave unstated.

software developer working for ThoughtWorks, mainly with JRuby. I am very interested in programming languages, artificial intelligence and lots of other things. I am also the creator of the programming language Ioke.

A community of data geeks interested in machine learning, natural language processing, artificial intelligence, text analysis, information retrieval, search, data mining, statistical modeling, and data visualization, as well as adjacent topics.

machine learning and natural language processing, especially for large data sets by Joseph Turian and colleagues

The Calais web service automatically attaches rich semantic metadata to the content you submit. Using natural language processing, machine learning and other methods, Calais categorizes and links your document with entities (people, places, organizations, etc.), facts (person "x" works for company "y"), and events (person "z" was appointed chairman of company "y" on date "x").

Ask me any question or tell me anything in a single English sentence.
Google gives you links: I give you facts.

Angel (Intelligent Agent Project)
'Angel' is the codename of a new Artificial Intelligence project, which is part of my current research. The project started in 2010 and is a nonprofit research project.

the real challenge is to make sense of all this seemingly disconnected data. To cut through the clutter, make relevant associations, and transform raw information into true knowledge.

Artificial Intelligence University of Washington

Imagine there were input devices which could allow text to know if and how it is being read - how would this change the reading experience Virtually all content you find on this site is addressed to this sole question. To further explore it we recommend that you start with the media we have prepared.