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Ongoing challenges with Edge Machine Learning for Radiation Instrumentation

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Abstract

Detectors today can generate an enormous amount of data. Machine Learning embedded in hardware near the detector can reduce data rates at the source but many challenges remain before EdgeML is ready for scientific experiments.

© 2021 The Author(s)

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