Title

Neuromorphic engineering – A paradigm shift for future instrumentation and measurement technologies

Document Type

Journal Article

Publisher

IEEE

School

School of Engineering

RAS ID

28226

Comments

Originally published as: Vanarse, A., Osseiran, A., & Rassau, A. (2019). Neuromorphic engineering—A paradigm shift for future IM technologies. IEEE Instrumentation & Measurement Magazine, 22(2), 4-9. Original article available here.

Abstract

Recent developments in measurement science have mainly focused on enhancing the quality of measurement procedures, improving their efficiency, and introducing processes that can increase accuracy [1]. Simultaneously, the implementation of intelligent and adaptive distributed systems using the Internet of Things (IoT) has recently seen a rapid increase. The synergy of these developments requires an extensive use of sensing systems that can measure, analyze and provide accurate results in real-time [2]. However, an increase in the number of sensors leads to challenges such as a necessity for complex processing strategies to handle multivariate data that further leads to overall increases in power consumption and output latency.

DOI

10.1109/MIM.2019.8674627

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