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Cognitive Domain Ontologies: HPCs to Ultra Low Power Neuromorphic Platforms

Published: 18 June 2020 Publication History
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References

[1]
T. Atahary, T. Taha, F. Webber, and S. Douglass, "Knowledge mining for cognitive agents through path based forward checking," 16th IEEE/ACIS SNPD, pp. 1--8, June, 2015.
[2]
C. Yakopcic, N. Rahman, T. Atahary, T. M. Taha, and S. Douglass, "Cognitive Domain Ontologies in a Memristor Crossbar Architecture," IEEE National Aerospace and Electronics Conference (NAECON), pp. 76--83, Dayton, OH, June 2017.
[3]
N. Rahman, T. Atahary, T. Taha, S. Douglass, "A pattern matching approach to map cognitive domain ontologies to the IBM TrueNorth Neurosynaptic System." 2017 Cognitive Communications for Aerospace Applications Workshop (CCAA). IEEE, 2017.
[4]
N. Rahman, C. Yakopcic, T. Atahary, R. Hasan, T. M. Taha, and S. Douglass, "Cognitive Domain Ontologies in Lookup Tables Stored in a Memristor String Matching Architecture," 30th annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1--4, Windsor, Ontario, April 2017.
[5]
N. Rahman, T. Atahary, C. Yakopcic, T. M. Taha, Scott Douglass, "Task Allocation Peformance Comparison for Low Power Devices," IEEE National Aerospace and Electronics Conference (NAECON), pp. 247--253, Dayton, OH, July, 2018.
[6]
C. Yakopcic, T. Atahary, T. M. Taha, A. Beigh, and S. Douglass, "High Speed Approximate Cognitive Domain Ontologies for Asset Allocation based on Isolated Spiking Neurons," IEEE National Aerospace and Electronics Conference (NAECON), pp. 241--246, Dayton, OH, July, 2018.
[7]
C. Yakopcic, N. Rahman, T. Atahary, T. M. Taha, A. Beigh, and S. Douglass, "High Speed Approximate Cognitive Domain Ontologies for Constrained Asset Allocation based on Spiking Neurons," IEEE National Aerospace and Electronics Conference (NAECON), 2019.
[8]
C. Yakopcic, T. Atahary, N. Rahman, T. M. Taha, A. Beigh, and S. Douglass, "High Speed Approximate Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons," IEEE/INNS International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July, 2019.
[9]
C. Yakopcic, J. Freeman, T. M. Taha, S. Douglass, and Q. Wu, "Cognitive Domain Ontologies Based on Loihi Spiking Neurons Implemented Using a Confabulation Inspired Network," IEEE Cognitive Communications for Aerospace Applications Workshop, June, 2019.
[10]
C. Yakopcic, N. Rahman, T. Atahary, T. M. Taha, and S. Douglass, "Solving Constraint Satisfaction Problems Using the Loihi Spiking Neuromorphic Processor," IEEE Design, Automation and Test in Europe, Grenoble, France, March, 2020 (Accepted).
[11]
M. Davies, N. Srinivasa, T.-H. Lin, G. Chinya, Y. Cao, S. H. Choday, G. Dimou, P. Joshi, N. Imam, S. Jain, Y. Liao, C.-K. Lin, A. Lines, R. Liu, D. Mathaikutty, S. McCoy, A. Paul, J. Tse, G. Venkataramanan, Y.-H. Weng, A. Wild, Y. Yang, H. Wang, "Loihi: A Neuromorphic Manycore Processor with On-Chip Learning," IEEE Micro, vol. 38, no. 1, pp. 82--99, 2018.

Cited By

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  • (2022)Toward the Development of a Multi-Agent Cognitive Networking System for the Lunar EnvironmentIEEE Journal of Radio Frequency Identification10.1109/JRFID.2022.31629526(269-283)Online publication date: 2022

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  1. Cognitive Domain Ontologies: HPCs to Ultra Low Power Neuromorphic Platforms

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    NICE '20: Proceedings of the 2020 Annual Neuro-Inspired Computational Elements Workshop
    March 2020
    131 pages
    ISBN:9781450377188
    DOI:10.1145/3381755
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    In-Cooperation

    • INTEL: Intel Corporation
    • IBM: IBM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 June 2020

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    Author Tags

    1. Cognitive Domain Ontology
    2. Hardware
    3. Low Power
    4. Neuromorphic

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    • Extended-abstract
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    • Refereed limited

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    NICE '20
    NICE '20: Neuro-inspired Computational Elements Workshop
    March 17 - 20, 2020
    Heidelberg, Germany

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    Overall Acceptance Rate 25 of 40 submissions, 63%

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    • (2022)Toward the Development of a Multi-Agent Cognitive Networking System for the Lunar EnvironmentIEEE Journal of Radio Frequency Identification10.1109/JRFID.2022.31629526(269-283)Online publication date: 2022

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