Sustainable Machine Learning: Course 1

Machine learning has become increasingly data and processing hungry. A recent report from the International Energy Agency projects that the electricity demand for data centers specialized in AI will more than quadruple by 2030. As such, it has become a pressing need to include energy awareness and environmental sustainability into the Machine Learning life cycle. In fact, a considerable amount of research efforts have been conducted in the last years in this direction.

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Published
2025-06-30
DOI
https://doi.org/10.1145/3769394.3769411
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Sustainable Machine Learning: Course 1

Bettina Kemme
Big Data and Business Intelligence
article

Sustainable Machine Learning: Course 1

Bettina Kemme
article en

Abstract

Machine learning has become increasingly data and processing hungry. A recent report from the International Energy Agency projects that the electricity demand for data centers specialized in AI will more than quadruple by 2030. As such, it has become a pressing need to include energy awareness and environmental sustainability into the Machine Learning life cycle. In fact, a considerable amount of research efforts have been conducted in the last years in this direction.

McGill University (CA)
Openalex Percentile: Top 55%
Big Data and Business Intelligence
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Sustainable Machine Learning: Course 1 — Bettina Kemme · (2025) | TGRS Research Map | TGRS