Neuromorphic Computing and Sensing in Space

The term ``neuromorphic'' refers to systems that are closely resembling the architecture and/or the dynamics of biological neural networks. Typical examples are novel computer chips designed to mimic the architecture of a biological brain, or sensors that get inspiration from, e.g., the vi...

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Bibliographic Details
Published inarXiv.org
Main Authors Izzo, Dario, Hadjiivanov, Alexander, Dold, Dominik, Meoni, Gabriele, Blazquez, Emmanuel
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 17.12.2022
Subjects
Insects
Neural networks
Neuromorphic computing
Power management
Space applications
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Summary:The term ``neuromorphic'' refers to systems that are closely resembling the architecture and/or the dynamics of biological neural networks. Typical examples are novel computer chips designed to mimic the architecture of a biological brain, or sensors that get inspiration from, e.g., the visual or olfactory systems in insects and mammals to acquire information about the environment. This approach is not without ambition as it promises to enable engineered devices able to reproduce the level of performance observed in biological organisms -- the main immediate advantage being the efficient use of scarce resources, which translates into low power requirements. The emphasis on low power and energy efficiency of neuromorphic devices is a perfect match for space applications. Spacecraft -- especially miniaturized ones -- have strict energy constraints as they need to operate in an environment which is scarce with resources and extremely hostile. In this work we present an overview of early attempts made to study a neuromorphic approach in a space context at the European Space Agency's (ESA) Advanced Concepts Team (ACT).
ISSN:2331-8422