International Journal of Emerging Trends in Computing and Information Sciences - 0 views
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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.
AI Magazine - 0 views
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Called the journal of record for the AI community, AI Magazine helps AAAI members stay abreast of significant new research and literature across the entire field of artificial intelligence. This quarterly publication features timely, feature-length articles, consistently crafted to be clear enough to permit specialists to review work outside their particular area of expertise.
MIT Center for Collective Intelligence - 0 views
www.Journal-i3.org/ - 0 views
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The journal serves as a forum favoring the dissemination of interdependent and interdisciplinary research involved in information retrieval, database, human-machine communication and artificial intelligence. The recent developments in these fields call for cross-discipline collaborations and perspectives. The I3 journal intends to promote inter-disciplinarity working at the development of common terminology, concepts, typologies, methods and ontologies and aiming at the identification of a unified perspective on research issues. The journal is disseminated both as a traditional paper publication (published by Cépaduès http://www.cepadues.com/) and as an electronic journal on the web (http://www.journal-i3.org/).
Meaningtool - Create Your Own AI - 0 views
The START Natural Language Question Answering System - 0 views
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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.
Trapit - 0 views
Artificial Intelligence / Kosmix.com - 0 views
Artificial Intelligence | Primal Pages - 1 views
INSEMTIVES - Incentives for Semantics - 0 views
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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.
CALO - Wikipedia, the free encyclopedia - 0 views
The Singularity is Near » Homepage - 0 views
Artificial intelligence - Wikipedia, the free encyclopedia - 1 views
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Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents"[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy, who coined the term in 1956,[3] defines it as "the science and engineering of making intelligent machines."[4]
UCSD CSE - Artificial Intelligence - 2 views
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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.
Artificial Intelligence Lab - 0 views
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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.
Artificial intelligence - Psychology Wiki - 1 views
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The modern definition of artificial intelligence (or AI) is "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions which maximizes its chances of success.[1] John McCarthy, who coined the term in 1956,[2] defines it as "the science and engineering of making intelligent machines."[3] Other names for the field have been proposed, such as computational intelligence,[4] synthetic intelligence[4][5] or computational rationality.[6] The term artificial intelligence is also used to describe a property of machines or programs: the intelligence that the system demonstrates.
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