<ul><li>Concerns about the environmental footprint of machine learning are increasing.</li><li>Most ML researchers and developers do not incorporate energy measurement in their work practices.</li><li>This paper introduces considerations for using energy measurement tools and interpreting energy estimates.</li><li>It calls for improving measurement methods and standards for robust comparisons between hardware and software environments.</li></ul>

A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning

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