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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.

Our mission has been to create a digital butler. A conversational software tool designed to help organise oneself, automate tasks, find information, and ultimately connect to our home. We want to create a product that knows the information you need and and when to provide that information to make your life easier and more efficient.

Open Information Extraction

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.

Health Information Exchange (HIE) Software Development

semantic processing with Cogito Intelligence API. State of the art software, Cogito Intelligence API can decipher the meaning and context in processed data, distinguishing between various streams and high volume Intelligence information. Cogito Intelligence API goes beyond keyword or statistics based solutions to resolve ambiguities in data, allowing you to exploit strategic sources of information.

An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an interconnected group of artificial neurons, and it processes information using a connectionist approach to computation. In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase.

"an index of all information resources on Artificial Intelligence and Machine Learning related topics"

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.

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.

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.

"Welcome to the home of AI an index of all information resources on Artificial Intelligence and Machine Learning related topics"

"Lunyr is an Ethereum-based decentralized crowdsourced encyclopedia which rewards users with app tokens for peer-reviewing and contributing information. We aim to be the starting point of the internet for finding reliable, accurate information. Our long-term vision is to develop a knowledge base API that developers can use to create next generation decentralized applications in Artificial Intelligence, Virtual Reality, Augmented Reality, and more."

"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."

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.

"In this era of fears that Artificial Intelligence will destroy humanity, SARA is a Socially-Aware Robot Assistant that interacts with people in a whole new way, personalizing the interaction and improving task performance by relying on information about the relationship between the human user and virtual assistant. Rather than taking the place of people, Sara is programmed to collaborate with her human users. Rather than ignoring the socio-emotional bonds that form the fabric of society, Sara depends on those bonds to improve her collaboration skills."

"Successfully complete work faster Automatically get the information you need | powered by machine learning"

"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 Group at UCSD engages in a wide range of theoretical and experimental research. Areas of particular strength include machine learning, probabilistic inference, neural computation, and cognitive modeling. Within these areas, students and faculty also pursue real-world applications to problems in computer vision, speech and audio processing, information retrieval, bioinformatics, brain-computer interfaces, and computer systems and networking. The Artificial Intelligence Group is part of a larger campus-wide effort in Computational Statistics and Machine Learning (COSMAL). Interdisciplinary collaborations are strongly supported and encouraged.

K-NET - Knowledge-NET - is a play ground of knowledge management enthusiasts. We use this informal space to raise awareness on emerging technologies; to debate and discuss the impact of collaborative socialization on work and life; and to raise awareness of new agile forms of conducting business with knowledge management methodologies.