What is it about?
A proposal to get the best accuracy with the lower energy consumption when training machine learning algorithms
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Why is it important?
An innovative hyperparameter optimization to Machine Learning algorithms which enables save energy and reach good accuracy
Perspectives
I hope this article makes AI's and ML's researcher think about energy consumption and CO2 emission and the great importance of thinking about this issue, think about the unsustainable paradigm in AI nowadays. More than present results this paper is important to rethink the AI's development paradigm.
Mariza Ferro
Universidade Federal Fluminense
Read the Original
This page is a summary of: Multi-objective hyperparameter optimization approach with genetic algorithms towards efficient and environmentally friendly machine learning, AI Communications, June 2024, IOS Press,
DOI: 10.3233/aic-230063.
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