4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2025
The Environmental Impacts of Machine Learning Training Keep Rising Evidencing Rebound Effect
Clément Morand, Anne-Laure Ligozat, Aurélie Névéol
Recent Machine Learning (ML) approaches have shown increased performance on benchmarks but at the cost of escalating computational demands. Hardware, algorithmic and carbon optimiz…
cs.LG2024★ 4 cited
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts
Clément Morand, Anne-Laure Ligozat, Aurélie Névéol
The compute requirements associated with training Artificial Intelligence (AI) models have increased exponentially over time. Optimisation strategies aim to reduce the energy consu…