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KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers.

"MusicGraph.ai is the first web-based graph analytics and intelligence engine for the music industry. The platform gives MusicGraph API users access to a comprehensive library of powerful algorithms that can be leveraged to extract even more value from the world's most extensive repository of music data. It's also fully integrated with MusicGraph allowing users to view all the relevant metrics surrounding API usage."

"MusicGraph.ai is the first web-based graph analytics and intelligence engine for the music industry. The platform gives MusicGraph API users access to a comprehensive library of powerful algorithms that can be leveraged to extract even more value from the world's most extensive repository of music data. It's also fully integrated with MusicGraph allowing users to view all the relevant metrics surrounding API usage."

The DARPA Agent Markup Language (DAML) Program officially began in August 2000. The goal of the DAML effort is to develop a language and tools to facilitate the concept of the Semantic Web. Michael Pagels is the DARPA Program Manager for DAML. The DAML program will end in early 2006.

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.

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!

"Hey there! I'm a robot brain. I learn concepts by searching the Internet. I can interpret natural language text, images, and videos. I watch humans with my sensors and learn things from interacting with them. Here are a few things I've learned recently..."

The objective of INSEMTIVES is to bridge the gap bet­ween human and computational intell­igence in the current semantic content authoring R&D land­scape. The project aims at pro­ducing metho­dologies, methods and tools that enable the massive creation and feasible manage­ment of semantic cont­ent in order to facilitate the world-­wide up­take of semantic tech­nologies.

"KBpedia is a comprehensive knowledge structure for promoting data interoperability and knowledge-based artificial intelligence, or KBAI. The KBpedia knowledge structure combines six (6) public knowledge bases - Wikipedia, Wikidata, OpenCyc, GeoNames, DBpedia and UMBEL - into an integrated whole. KBpedia's upper structure, or knowle"

"Extract Meaning from your Text. The TextRazor API helps you extract and understand the Who, What, Why and How from your legal documents with unprecedented accuracy and speed."

"We are a machine intelligence team focused on deep learning. We advance the state of the art in order to have a positive impact on the world."

"MapR Is the Industry's Leading Data Platform for AI and Analytics. ALL DATA, ONE PLATFORM, EVERY CLOUD. LIMITLESS POSSIBILITIES."

"Nigel - From Smart to Intelligent Nigel is the world's first real Artificial General Intelligence (AGI). Nigel is an engine that synthesizes and connects smart things to create intelligence."

ARTIFICIAL INTELLIGENCE Participate in cutting-edge artificial intelligence, machine reasoning, knowledge modeling, and natural language processing research initiatives.

"The artificial intelligence community"