Artificial Intelligence

AIAI is a technology transfer organisation that promotes the application of Artificial Intelligence research for the benefit of commercial, industrial, and government clients. AIAI has considerable experience of working with small innovative companies, and with research groups in larger corporations.

How can a computer accumulate a massive body of knowledge? What will Web search engines look like in ten years?

Open Information Extraction

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".

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.

MIT Computer Science and Artificial Intelligence Laboratory

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

OpenCyc is back and better than ever! OpenCyc 2.0 is now available for download from SourceForge. You can also download OWL versions of the OpenCyc ontology, or search for and access OpenCyc content on the semantic web, accessing Cyc concepts via their URIs, at sw.opencyc.org.

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 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

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 DARPA PAL program (the Personalized Assistant that Learns) focused on improving the way that computers support humans through the use of cognitive systems-that is, systems that reason, learn from experience, and accept guidance in order to provide effective, personalized assistance. SRI International has led the PAL Framework effort to make available many of the successful machine learning and reasoning technologies developed on the PAL program for use by the broader DARPA, research, and military communities. Technical capabilities within the framework have been hardened, modularized, packaged, and where appropriate, adapted to meet industry standards to facilitate their incorporation into potential target applications. The framework further includes various infrastructure components and APIs to simplify integration with the framework technologies.

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