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.
Authors
- Bettina Kemme (ORCID: https://orcid.org/0000-0003-4694-4923)
Institutions
- McGill University (CA)
Publication Details
- Published
- 2025-06-30
- DOI
- https://doi.org/10.1145/3769394.3769410
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00