Conferences related to Artificial Intelligence

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2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.

  • 2013 IEEE International Conference on Systems, Man and Cybernetics - SMC

    SMC 2013 targets advances in Systems Science and Engineering Human-machine Systems and Cybernetics involving state-of-the-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies and emerging applications.

  • 2012 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research, and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC2010) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.

  • 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC2009) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.

  • 2006 IEEE International Conference on Systems, Man and Cybernetics - SMC


2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

Cognitive Informatics (CI) is a cutting-edge and multidisciplinary research field that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software engineering, knowledge engineering, cognitive robots, scientific philosophy, cognitive linguistics, life sciences, and cognitive computing.

  • 2012 11th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 11th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 12) focuses on the theme of e-Brain and Cognitive Computers.

  • 2011 10th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive Informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 10th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 11) focuses on the theme of Cognitive Computers and the e-Brain.

  • 2010 9th IEEE International Conference on Cognitive Informatics (ICCI)

    Cognitive Informatics (CI) is a cutting-edge and transdisciplinary research area that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, neuropsychology, medical science, systems science, software engineering, telecommunications, knowledge engineering, philosophy, linguistics, economics, management science, and life sciences.

  • 2009 8th IEEE International Conference on Cognitive Informatics (ICCI)

    The 8th IEEE International Conference on Cognitive Informatics (ICCI 09) focuses on the theme of Cognitive Computing and Semantic Mining. The objectives of ICCI'09 are to draw attention of researchers, practitioners, and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.

  • 2008 7th IEEE International Conference on Cognitive Informatics (ICCI)

    The 7th IEEE International Conference on Cognitive Informatics (ICCI 08) focuses on the theme of Cognitive Computers and Computational Intelligence. The objectives of ICCI 08 are to draw attention of researchers, practitioners and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.

  • 2007 6th IEEE International Conference on Cognitive Informatics (ICCI)

  • 2006 5th IEEE International Conference on Cognitive Informatics (ICCI)


2013 ACS International Conference on Computer Systems and Applications (AICCSA)

This International Conference on Computer Systems and Applications (AICCSA) is the premier Computer Science and Engineering Conference in the Middle East and North Africa. It is held every other year in an Arab country and intends to enhance the participation and the contribution of the Arab world in Information Technologies and to maximize its benefits. In general, the scope of AICCSA includes all aspects of the theory and practice of computer science and information technology, but, depending on the needs, specific topics and/or issues might be prioritized.

  • 2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)

    An international conference that covers a broad range of information technology areas including Bioinformatics and Biomedical Engineering, Cloud and Grid Computing, Architecture and Systems, Databases, High Performance Computing, Reconfigurable and GPU Computing,Computer Networks and Security, Energy Efficient Computing, Wireless Systems and Sensor Networks.

  • 2010 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)

    AICCSA is the premier Computer Science and Engineering Conference in the Middle East and North Africa covering new advances in computer systems and their applications. Papers will cover the theoretical, conceptual, descriptive in nature, or a survey of the state of the art.

  • 2009 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)

    ICCSA is the premier Computer Science and Engineering Conference in the Middle East and North Africa


2013 IEEE 17th International Conference on Intelligent Engineering Systems (INES)

The aim of INES conference series is to provide researchers andpractitioners from industry and academia with a platform to report on recent developments inthe area of computational intelligence.


2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)

The ETFA conference series is the prime, and largest, IEEE-sponsored event dedicated to factory automation and emerging technologies in industrial automation.The aim of the ETFA conference series is to provide researchers and practitioners from industry and academia with a platform to report on recent developments in the newly emerging areas of technology and their potential applications to factory automation.The technical success of the ETFA conference series also testifies to the rapid evolution of the area of industrial automation in the recent decades. The proceedings of the conference give a fairly accurate picture of the state of the art of the area. ETFA conferences were fortunate to attract high quality papers, many of which were later published in the IEEE Transactions on Industrial Electronics.

  • 2012 IEEE 17th Conference on Emerging Technologies & Factory Automation (ETFA 2012)

    The ETFA conference series is the prime, and largest, IEEE-sponsored event dedicated to factory automation and emerging technologies in industrial automation. The aim of the ETFA conference series is to provide researchers and practitioners with a platform to report on recent developments and their potential applications to factory automation.

  • 2011 IEEE 16th Conference on Emerging Technologies & Factory Automation (ETFA 2011)

    The aim of ETFA conference is to bring together researchers and practitioners from the industry and academia and provide them with a platform to report on recent advances and developments in the newly emerging areas of technology, as well as actual and potential applications to industrial and factory automation

  • 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010)

    The aim of the conference is to bring together researchers and practitioners from the industry and academia and provide them with a platform to report on recent advances and developments in the newly emerging areas of technology, as well as actual and potential applications to industrial and factory automation.

  • 2009 IEEE Conference on Emerging Technologies & Factory Automation (ETFA 2009)

    The aim of the conference is to bring together researchers and practitioners from the industry and academia and provide them with a platform to report on recent advances and developments in the newly emerging areas of technology, as well as actual and potential applications to industrial and factory automation.


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Periodicals related to Artificial Intelligence

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computational Intelligence Magazine, IEEE

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


Electron Devices, IEEE Transactions on

Publishes original and significant contributions relating to the theory, design, performance and reliability of electron devices, including optoelectronics devices, nanoscale devices, solid-state devices, integrated electronic devices, energy sources, power devices, displays, sensors, electro-mechanical devices, quantum devices and electron tubes.


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Most published Xplore authors for Artificial Intelligence

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Xplore Articles related to Artificial Intelligence

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Visual Modeling Editor and Ontology API-Based Analysis for Decision Making in Enterprises - Experience and Way Ahead

Sagar Sunkle; Hemant Rathod 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, 2014

To stay competitive in dynamic environment, enterprises need to be able to efficiently and effectively respond to changes. Both visual modeling and programmable analysis support is needed for modeling a) motivations behind and goals in response to change, b) the AS-IS state of enterprise, c) possible TO- BE states, and d) operationalization model that captures paths from AS-IS to desired ...


Space propulsion systems diagnostics

S. Tulpule AUTOTESTCON '90. IEEE Systems Readiness Technology Conference. 'Advancing Mission Accomplishment', Conference Record., 1990

The author presents a systems-level approach to integrating state-of-the-art rocket engine technology with advanced computational techniques to develop an integrated diagnostic system (IDS) for space propulsion systems. The key feature of this IDS is the use of advanced diagnostic algorithms for failure detection as opposed to the practice of redline-based failure detection methods. The author presents a top-down analysis of ...


Early network failure detection system by analyzing Twitter data

Kei Takeshita; Masahiro Yokota; Ken Nishimatsu 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), 2015

Mobile network failures have occurred many times in recent years. Some network failures become "silent" failures that mobile carriers cannot detect because of incomplete rules concerning failure detection by the network operating system. However, the increasing number of services and devices, and the increasing complexity of the network make it hard to generate rules that cover all network failures. Therefore, ...


Can a robot's adaptive behavior be animal-like without a learning algorithm?

T. Kitamura Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on, 1999

The purpose of this paper is to investigate what task and to what extent a robot loading CBA (Consciousness-based Architecture) can achieve without learning algorithm. CBA is developed by the author's group, a five-layered hierarchical architecture of the relationship between consciousness and behavior: the hierarchy has the evolutionary arrangement of behaviors from reactive behaviors to symbolic ones. But no leaning ...


Asymmetric-margin support vector machines for lung tissue classification

Jimison Iavindrasana; Adrien Depeursinge; Gilles Cohen; Antoine Geissbuhler; Henning Müller The 2010 International Joint Conference on Neural Networks (IJCNN), 2010

This paper concerns lung tissue classification using asymmetric-margin support vector machine (ASVM) to handle the imbalance of the positive and negative classes in a one-against-all multiclass classification problem. The hyperparameters of the algorithm are obtained using an optimization of the upper bound of the leave-one-out error of the ASVM. The ASVM is applied on the dataset with its original distribution ...


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Educational Resources on Artificial Intelligence

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eLearning

Visual Modeling Editor and Ontology API-Based Analysis for Decision Making in Enterprises - Experience and Way Ahead

Sagar Sunkle; Hemant Rathod 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, 2014

To stay competitive in dynamic environment, enterprises need to be able to efficiently and effectively respond to changes. Both visual modeling and programmable analysis support is needed for modeling a) motivations behind and goals in response to change, b) the AS-IS state of enterprise, c) possible TO- BE states, and d) operationalization model that captures paths from AS-IS to desired ...


Space propulsion systems diagnostics

S. Tulpule AUTOTESTCON '90. IEEE Systems Readiness Technology Conference. 'Advancing Mission Accomplishment', Conference Record., 1990

The author presents a systems-level approach to integrating state-of-the-art rocket engine technology with advanced computational techniques to develop an integrated diagnostic system (IDS) for space propulsion systems. The key feature of this IDS is the use of advanced diagnostic algorithms for failure detection as opposed to the practice of redline-based failure detection methods. The author presents a top-down analysis of ...


Early network failure detection system by analyzing Twitter data

Kei Takeshita; Masahiro Yokota; Ken Nishimatsu 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), 2015

Mobile network failures have occurred many times in recent years. Some network failures become "silent" failures that mobile carriers cannot detect because of incomplete rules concerning failure detection by the network operating system. However, the increasing number of services and devices, and the increasing complexity of the network make it hard to generate rules that cover all network failures. Therefore, ...


Can a robot's adaptive behavior be animal-like without a learning algorithm?

T. Kitamura Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on, 1999

The purpose of this paper is to investigate what task and to what extent a robot loading CBA (Consciousness-based Architecture) can achieve without learning algorithm. CBA is developed by the author's group, a five-layered hierarchical architecture of the relationship between consciousness and behavior: the hierarchy has the evolutionary arrangement of behaviors from reactive behaviors to symbolic ones. But no leaning ...


Asymmetric-margin support vector machines for lung tissue classification

Jimison Iavindrasana; Adrien Depeursinge; Gilles Cohen; Antoine Geissbuhler; Henning Müller The 2010 International Joint Conference on Neural Networks (IJCNN), 2010

This paper concerns lung tissue classification using asymmetric-margin support vector machine (ASVM) to handle the imbalance of the positive and negative classes in a one-against-all multiclass classification problem. The hyperparameters of the algorithm are obtained using an optimization of the upper bound of the leave-one-out error of the ASVM. The ASVM is applied on the dataset with its original distribution ...


More eLearning Resources

IEEE.tv Videos

Robotics History: Narratives and Networks Oral Histories: John McCarthy
What's There To Fear About AI?: IEEE TechEthics Keynote with Toby Walsh
TryEngineering Careers with Impact: Mataric
A Conversation with…Toby Walsh: IEEE TechEthics
Towards a Comprehensive Approach to Ensuring that AI and Robotics are Beneficial: IEEE TechEthics Keynote with Wendell Wallach
The Path to Robust Machine Learning: IEEE TechEthics Keynote with Richard Mallah
Robotics History: Narratives and Networks Oral Histories: Ruzena Bajcsy
Robotics History: Narratives and Networks Oral Histories: Ernst Dickmanns
A Conversation with…Richard Mallah: IEEE TechEthics
Tech Super Stars Panelist - Karen Bartleson: 2016 Technology Time Machine
Better than Brilliant - Dr Alan Finkel - Opening Ceremony Keynote: Sections Congress 2017
Robotics History: Narratives and Networks Oral Histories: Rolf Pfiefer
Keynote Address and Opening Remarks - IEEE AI & Ethics Summit 2016
Introducing Ethical and Social Considerations in the Design Process: IEEE TechEthics Panel Discussion
Fun and Games with Artificial Intelligence: David B. Fogel
A Conversation with…Francesca Rossi: IEEE TechEthics
Robotics History: Narratives and Networks Oral Histories: Michael Sims
Standards: The Path to Industry Engagement - Don Wright - Ignite: Sections Congress 2017
Artificial Intelligence: Who Does the Thinking? - Recap of the IEEE AI & Ethics Summit, 2016
Robotics History: Narratives and Networks Oral Histories: Illah Nourbakhsh

IEEE-USA E-Books

  • A Glimpse of Truth Maintenance

    This chapter contains sections titled: Introduction, Representation of Knowledge about Belief, Default Assumptions, Sets of Alternatives, Dependency- Directed Backtracking, Truth Maintenance Mechanisms, Applications, References

  • Design of a Programmers Apprentice

    This chapter contains sections titled: The Software Crisis, A Scenario, Overview of the Theory, Overview of the System, The Scenario Revisited, The Deductive System, Building Purpose Links, Coding and Plan Recognition, A Library of Plans, Program Maintenance, Further Work, References

  • References

    The transition from sequential to parallel computation is an area of critical concern in today's computer technology, particularly in architecture, programming languages, systems, and artificial intelligence. This book addresses central issues in concurrency, and by producing both a syntactic definition and a denotational model of Hewitt's actor paradigm -- a model of computation specifically aimed at constructing and analyzing distributed large-scale parallel systems -- it substantially advances the understanding of parallel computation.Contents: Introduction. General Design Decisions. Computation in ACTOR Systems. A More Expressive Language. A Model for ACTOR Systems. Concurrency Issues. Abstraction and Compositionality. Conclusions.

  • Cognitive Maps and Internal World Models

    These sixty contributions from researchers in ethology, ecology, cybernetics, artificial intelligence, robotics, and related fields delve into the behaviors and underlying mechanisms that allow animals and, potentially, robots to adapt and survive in uncertain environments. They focus in particular on simulation models in order to help characterize and compare various organizational principles or architectures capable of inducing adaptive behavior in real or artificial animals.Jean-Arcady Meyer is Director of Research at CNRS, Paris. Stewart W. Wilson is a Scientist at The Rowland Institute for Science, Cambridge, Massachusetts.

  • Natural Language Undeastanding and Intelligent Computer Coaches

    This chapter contains sections titled: Section Contents, Natural Language Understanding has an Esteemed History, Representation and Frames, Intelligent Computer Coaches

  • VSC¿¿¿HVDC Transmission

    The forced switching converters are a new version of the High Voltage Direct Current (HVDC) technology that uses voltage source converters (VSC), which are based mainly on insulated gate bipolar transistors (IGBT). VSCs utilize a power electronic valve with both turn¿¿?on and turn¿¿?off capability. The converters work by using pulse width modulation (PWM), making it possible to alter both the phase and amplitude, which allows the independent regulation of active and reactive power, as well as the voltage and frequency control. From the AC transmission grid point of view, the VSC¿¿?HVDC systems act similar to a motor or generator without inertia, which is able to control the active and/or reactive power. The VSC¿¿?HVDC technology is known as HVDC Light (ABB), HVDC Plus (Siemens), or MonSin (GE/Alstom). Like line commutated converter (LCC) ¿¿? HVDC or current source converter (CSC) ¿¿? HVDC, a VSC transmission scheme enables reliable and controllable power transfer between networks.

  • Index

    The transition from sequential to parallel computation is an area of critical concern in today's computer technology, particularly in architecture, programming languages, systems, and artificial intelligence. This book addresses central issues in concurrency, and by producing both a syntactic definition and a denotational model of Hewitt's actor paradigm -- a model of computation specifically aimed at constructing and analyzing distributed large-scale parallel systems -- it substantially advances the understanding of parallel computation.Contents: Introduction. General Design Decisions. Computation in ACTOR Systems. A More Expressive Language. A Model for ACTOR Systems. Concurrency Issues. Abstraction and Compositionality. Conclusions.

  • No title

    An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian n tworks.

  • Schemas for Prey-Catching in Frog and Toad

    This paper first outlines the methodology of schema theory (Arbib 1981), which integrates perception and action by decomposing an overall behavior into the interaction of functional, neurally explicable, units called schemas. It offers comparisons with other methodologies from Artificial Intelligence (AI) and Brain Theory (BT), and reviews the RS (Robot Schema) language and the Arbib and House (1987) model of detour behavior in Rana computatrix which associates potential fields with objects -- an attractant for the prey; arepulsor for the fencepost; and a forward field for the toad itself which are then combined to create more complex fields which determine the trajectory of the animal. However, rather than analyze detour behavior here, the remainder of the paper presents a schema-theoretic model for the decision-making mechanisms which control preY: catching behavior in frog and toad; the extension of the work to model predator-avoidance is discussed elsewhere. It thus contributes to Rana computatrix, an evolving set of models of anuran visuomotor coordination (e.g., Arbib 1987). Our new model of prey-catching is rooted in recent experimental data on the behavior of animals with and without brain lesions. These data motivate the model's use of independent processing of the different parameters that define the stimulus position (horizontal eccentricity, elevation and distance). The model, which emphasizes action generated by the concurrent activity of multiple motor schemas rather than the serial activity of such schemas, predict new behaviors for experimental test.

  • Morcom

    Our hero is Turing, an interactive tutoring program and namesake (or virtual emanation?) of Alan Turing, World War II code breaker and father of computer science. In this unusual novel, Turing's idiosyncratic version of intellectual history from a computational point of view unfolds in tandem with the story of a love affair involving Ethel, a successful computer executive, Alexandros, a melancholy archaeologist, and Ian, a charismatic hacker. After Ethel (who shares her first name with Alan Turing's mother) abandons Alexandros following a sundrenched idyll on Corfu, Turing appears on Alexandros's computer screen to unfurl a tutorial on the history of ideas. He begins with the philosopher- mathematicians of ancient Greece -- "discourse, dialogue, argument, proof... can only thrive in an egalitarian society" -- and the Arab scholar in ninth- century Baghdad who invented algorithms; he moves on to many other topics, including cryptography and artificial intelligence, even economics and developmental biology. (These lessons are later critiqued amusingly and developed further in postings by a fictional newsgroup in the book's afterword.) As Turing's lectures progress, the lives of Alexandros, Ethel, and Ian converge in dramatic fashion, and the story takes us from Corfu to Hong Kong, from Athens to San Francisco -- and of course to the Internet, the disruptive technological and social force that emerges as the main locale and protagonist of the novel.Alternately pedagogical and romantic, Turing (A Novel about Computation) should appeal both to students and professionals who want a clear and entertaining account of the development of computation and to the general reader who enjoys novels of ideas.



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