Energy-Aware Machine Learning Models—A Review of Recent Techniques and Perspectives
The paper explores the pressing issue of energy consumption in machine learning (ML) models and their environmental footprint. As ML technologies, especially large-scale models, continue to surge in popularity, their escalating energy demands and corresponding CO<sub>2</sub> emissions ar...
Saved in:
| Main Authors: | Rafał Różycki, Dorota Agnieszka Solarska, Grzegorz Waligóra |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/11/2810 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Systematic Review and Evaluation of Sustainable AI Algorithms and Techniques in Healthcare
by: Yehia Ibrahim Alzoubi, et al.
Published: (2025-01-01) -
Green Analytical Chemistry—Recent Innovations
by: Anil Kumar Meher, et al.
Published: (2025-03-01) -
Peran Akuntansi Hijau dalam Keberlanjutan Perusahaan di Indonesia
by: Ade Gunawan, et al.
Published: (2025-06-01) -
The impact of China’s artificial intelligence development on urban energy efficiency
by: Jun Zeng, et al.
Published: (2025-07-01) -
Recent advances in titanium dioxide bio-derived carbon photocatalysts for organic pollutant degradation in wastewater
by: Ethan Dern Huang Kong, et al.
Published: (2025-05-01)