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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.

OpenNERO is an open source software platform designed for research and education in Artificial Intelligence. The project is based on the Neuro-Evolving Robotic Operatives (NERO) game developed by graduate and undergraduate students at the Neural Networks Research Group and Department of Computer Science at the University of Texas at Austin.

The following is a list of current and past, nonclassified notable artificial intelligence projects.

Ai Research is a leading artificial intelligence research project. At Ai, we're creating a new form of life. Our expanding web site is an essential part of the emerging global discussion about artificial intelligence. On this website, we showcase the state of the art in pattern-matching conversational machines, demonstrated by Alan, and in reinforcement learning algorithms, demonstrated by HAL. Use our forums, original papers, online labs, demos and links to explore what's happening both at Ai (the project) and in AI (the field).

There was a time when machine learning datasets were scarce. Now, with the advancement in this field, datasets are readily available across the internet, but still, machine learning experts find it difficult to get relevant datasets for project ideas. By this post, we wish to change that.

"We have entered a new era of artificial intelligence, where we can create intelligent avatars made from the digital profiles of our behaviors online. We call them Personal Artificial Intelligence, or PAI. Project PAI is founded on the belief that every person in the world should have their own digital avatar, one that speaks, thinks, and behaves just like their self."

List of artificial intelligence projects

"Meet murphy the robot with imagination What if I were the president? chat with him now on"

The goal of this project is the development of cognitive non-computational structure close to those of human brain. In fact - this is an attempt to create an artificial brain.

Numenta.org Platform for Intelligent Computing The mission of this project is to build and support a community interested in machine learning and machine intelligence based on modeling the neocortex and the principles upon which it works.

"The Artificial Intelligence (AI) program at the University of Michigan comprises a multidisciplinary group of researchers conducting   theoretical, experimental, and applied investigations of intelligent systems. Current projects include research in rational decision   making, computational game theory, distributed systems of multiple agents, reinforcement learning, machine learning, cognitive modeling,   natural language processing, information retrieval, and robotics."

The Artificial Intelligence (AI) program at the University of Michigan comprises a multidisciplinary group of researchers conducting   theoretical, experimental, and applied investigations of intelligent systems. Current projects include research in rational decision   making, computational game theory, distributed systems of multiple agents, reinforcement learning, machine learning, cognitive modeling,   natural language processing, information retrieval, and robotics.

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.

"automatic exploratory data analysis Making sense of data is one of the great challenges of the information age we live in. While it is becoming easier to collect and store all kinds of data, from personal medical data, to scientific data, to public data, and commercial data, there are relatively few people trained in the statistical and machine learning methods required to test hypotheses, make predictions, and otherwise create interpretable knowledge from this data. The Automatic Statistician project aims to build an artificial intelligence for data science, helping people make sense of their data."

"Magenta is a Google Brain project to ask and answer the questions, "Can we use machine learning to create compelling art and music? If so, how? If not, why not?" Our work is done in TensorFlow, and we regularly release our models and tools in open source. These are accompanied by demos, tutorial blog postings and technical papers. To follow our progress, watch our GitHub and join our discussion group."

"AMI is a program that brings together artists and engineers to realize projects using Machine Intelligence. Works are developed together alongside artists' current practices and shown at galleries, biennials, festivals, or online. By creating a platform for this emerging form of art-making, we hope to open both our research and the public conversation to new ways of thinking about intelligent systems."

"Colaboratory is a research project created to help disseminate machine learning education and research. It's a Jupyter notebook environment that requires no setup to use. For more information, see our FAQ. Click the button below to be added to the waitlist"

"Welcome to ObEN, where we are creating the future of Personal Artificial Intelligence (PAI). Our personalized digital avatars look, sound, sing, and behave like you, all secured and authenticated on the Project PAI blockchain."

'Welcome to the ml5 project! Developing ml5 is not just about developing machine learning software, it is about making machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.'