Embedded Devices for Neuromorphic Time-Series Assessment

Technical University of Denmark · Jülich Aachen Research Alliance · +3 more institutions

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Abstract

Modern computation based on the von Neumann architecture is today a mature cutting-edge science. In the Von Neumann architecture, processing and memory units are implemented as separate blocks interchanging data intensively and continuously. This data transfer is responsible for a large part of the power consumption. The next generation computer technology is expected to solve problems at the exascale with 1018 calculations each second. Even though these future computers will be incredibly powerful, if they are based on von Neumann type architectures, they will consume between 20 and 30 megawatts of power and will not have intrinsic physically built-in capabilities to learn or deal with complex data as our…

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3

Topics & keywords

Keywords
  • Neuromorphic engineering
  • Computer science
  • Computer architecture
  • Artificial intelligence
  • Artificial neural network
UN Sustainable Development Goals
  • Affordable and clean energy
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