Neuromorphic engineering – A paradigm shift for future instrumentation and measurement technologies
IEEE Instrumentation & Measurement Magazine
School of Engineering
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 . 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 . 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.