Environmental Impacts of Machine Learning Applications in Protein Science

L Lannelongue, M Inouye - Cold Spring Harbor …, 2023 - cshperspectives.cshlp.org
Computing tools and machine learning models play an increasingly important role in biology
and are now an essential part of discoveries in protein science. The growing energy needs …

From clicks to carbon: The environmental toll of recommender systems

T Vente, L Wegmeth, A Said, J Beel - … of the 18th ACM Conference on …, 2024 - dl.acm.org
As global warming soars, the need to assess the environmental impact of research is
becoming increasingly urgent. Despite this, few recommender systems research papers …

How to estimate carbon footprint when training deep learning models? A guide and review

L Bouza, A Bugeau… - Environmental Research …, 2023 - iopscience.iop.org
Abstract Machine learning and deep learning models have become essential in the recent
fast development of artificial intelligence in many sectors of the society. It is now widely …

Evaluating the energy consumption of machine learning: Systematic literature review and experiments

C Rodriguez, L Degioanni, L Kameni, R Vidal… - ar** and testing carbon‐aware applications
P Wiesner, M Steinke, H Nickel… - Software: Practice and …, 2023 - Wiley Online Library
The growing electricity demand of IT infrastructure has raised significant concerns about its
carbon footprint. To mitigate the associated emissions of computing systems, current efforts …

Evaluation of climate-aware metrics tools for radiology informatics and artificial intelligence: toward a potential radiology ecolabel

FX Doo, VS Parekh, A Kanhere, D Savani… - Journal of the American …, 2024 - Elsevier
Radiology is a major contributor to health care's impact on climate change, in part due to its
reliance on energy-intensive equipment as well as its growing technological reliance …