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Towards Fundamental Science of Cyber Security Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Hardware-Based Computational Intelligence for Size, Weight, and Power Constrained Environments

Authors : Bryant Wysocki, Nathan McDonald, Clare Thiem, Garrett Rose, Mario Gomez II

Published in: Network Science and Cybersecurity

Publisher: Springer New York

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Abstract

Nanotechnology research is an enabling field and is closely aligned with advances in neuromorphic architectures, energy efficient computing, and autonomy efforts. The development of neuromorphic circuits leverages a mixture of proven CMOS technologies with experimental devices and architectures that pose significant challenges for integration and fabrication. This chapter examines the pressures pushing the development of unconventional computing designs for size, weight, and power constrained environments and briefly reviews some of the trends that are influencing the development of solid-state neuromorphic systems. Later sections provide high level examples of selected approaches to hardware design and fabrication.

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Metadata
Title
Hardware-Based Computational Intelligence for Size, Weight, and Power Constrained Environments
Authors
Bryant Wysocki
Nathan McDonald
Clare Thiem
Garrett Rose
Mario Gomez II
Copyright Year
2014
Publisher
Springer New York
Book
Network Science and Cybersecurity

Print ISBN: 978-1-4614-7596-5

Electronic ISBN: 978-1-4614-7597-2

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-1-4614-7597-2_9

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