abstract

Cognitive computing journey

Author:

David NahamooAuthors Info & Claims

PPAA '14: Proceedings of the first workshop on Parallel programming for analytics applications

Pages 63 - 64

https://doi.org/10.1145/2567634.2567646

Published: 16 February 2014 Publication History

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Abstract

Building intelligent machines has been a long dream of humanity. While the journey has been difficult and slow, the progress in Machine Learning, Optimization Techniques and advancement in Deep Belief Networks offers promising ways to engineer cognitive systems. The science behind cognitive computing seeks to develop systems that emulate human brain functions such as perception, knowledge accumulation, goal planning, and logical inference. Cognitive systems will operate at a speed and an informational capacity that far exceeds human capability. They will serve to act as an advisor, partner, helpmate, and co-creator to the humans, collaborating on human terms.

Cognitive computing is a fundamentally new computing paradigm for tackling real world problems, exploiting enormous amounts of information using massively parallel machines that interact with humans and other cognitive systems. Cognitive systems will bring human-like reasoning to the problems of Big Data, and will also permit us to expand into the white space of domains that require human-like cognition but that either exceed human capacity or are impossible for a live human presence.

In this talk, I will review the past progress and discuss the future challenges. I will address the architectural challenges of building a general purpose system of systems that can learn, can reason, and can interact in a human natural way.

Cited By

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Sreedevi ANitya Harshitha TSugumaran VShankar P(2022)Application of cognitive computing in healthcare, cybersecurity, big data and IoTInformation Processing and Management: an International Journal10.1016/j.ipm.2022.10288859:2Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1016/j.ipm.2022.102888
Maka LMytri VMaka K(2021)Extensive Research on Adaptive Intelligence Cognitive and Machine Learning for Computing TechnologyCognitive Informatics and Soft Computing10.1007/978-981-16-1056-1_56(721-730)Online publication date: 2-Jul-2021
https://doi.org/10.1007/978-981-16-1056-1_56
Medsker L(2017)AI policyAI Matters10.1145/3067682.30676843:1(9-11)Online publication date: 20-Mar-2017
https://doi.org/10.1145/3067682.3067684
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Index Terms

Cognitive computing journey
1. Computing methodologies
  1. Artificial intelligence

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Information & Contributors

Information

Published In

PPAA '14: Proceedings of the first workshop on Parallel programming for analytics applications

February 2014

72 pages

ISBN:9781450326544

DOI:10.1145/2567634

General Chairs:
Manoj Kumar
IBM Research, USA
,
Joefon Jann
IBM Research, USA
,
Program Chair:
Priya Nagpurkar
IBM Research, USA

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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 February 2014

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Conference

PPoPP '14

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SIGPLAN

PPoPP '14: ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

February 16, 2014

Florida, Orlando, USA

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PPAA '14 Paper Acceptance Rate 6 of 7 submissions, 86%;

Overall Acceptance Rate 6 of 7 submissions, 86%

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Cited By

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Sreedevi ANitya Harshitha TSugumaran VShankar P(2022)Application of cognitive computing in healthcare, cybersecurity, big data and IoTInformation Processing and Management: an International Journal10.1016/j.ipm.2022.10288859:2Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1016/j.ipm.2022.102888
Maka LMytri VMaka K(2021)Extensive Research on Adaptive Intelligence Cognitive and Machine Learning for Computing TechnologyCognitive Informatics and Soft Computing10.1007/978-981-16-1056-1_56(721-730)Online publication date: 2-Jul-2021
https://doi.org/10.1007/978-981-16-1056-1_56
Medsker L(2017)AI policyAI Matters10.1145/3067682.30676843:1(9-11)Online publication date: 20-Mar-2017
https://doi.org/10.1145/3067682.3067684
Medsker L(2017)AI policyAI Matters10.1145/3054837.30548403:1(9-11)Online publication date: 25-May-2017
https://dl.acm.org/doi/10.1145/3054837.3054840
Candello H(2016)User Methods and Approaches to Design Cognitive SystemsDesign, User Experience, and Usability: Design Thinking and Methods10.1007/978-3-319-40409-7_23(231-242)Online publication date: 22-Jun-2016
https://doi.org/10.1007/978-3-319-40409-7_23
Gutierrez-Garcia JLópez-Neri E(2015)Cognitive ComputingProceedings of the 2015 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence10.1109/ACIT-CSI.2015.64(328-333)Online publication date: 12-Jul-2015
https://dl.acm.org/doi/10.1109/ACIT-CSI.2015.64

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Algorithms for dynamic spectrum access with learning for cognitive radio