Architecting Green Artificial Intelligence Products: Recommendations for Sustainable AI Software Development and Evaluation-Reference-Cited by-同舟云学术

Architecting Green Artificial Intelligence Products: Recommendations for Sustainable AI Software Development and Evaluation

Published:2023-11-26 Issue: Volume: Page:65-86
ISSN:1860-4862
Container-title:Artificial Intelligence and Sustainability
language:
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Author:

Alloghani Mohamed Ahmed

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-45214-7_4

Reference42 articles.

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2. Manner, J. (2023). Black software – the energy unsustainability of software systems in the 21st century. Oxford Open Energy, 2. https://doi.org/10.1093/ooenergy/oiac011

3. Garcia-Martin, E., et al. (2019). Estimation of energy consumption in machine learning. Journal of Parallel and Distributed Computing, 134, 75–88. https://doi.org/10.1016/j.jpdc.2019.07.007

4. United Nations Environment Programme. How artificial intelligence is helping tackle environmental challenges. UNEP. [Online]. Available: https://www.unep.org/news-and-stories/story/how-artificial-intelligence-helping-tackle-environmental-challenges. Accessed 19 April 2023.

5. De Villa Suarez, B. B., & Ferreres, R. A. (2021). Green Coding (pp. 1–23). GFT Technologies.

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