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Green AI in Action: Strategic Model Selection for Ensembles in Production
Integrating Artificial Intelligence (AI) into software systems has significantly enhanced their capabilities while escalating energy …
Nienke Nijkamp, June Sallou, Niels van der Heijden, Luís Cruz
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Breaking the Silence: the Threats of Using LLMs in Software Engineering
Large Language Models (LLMs) have gained considerable traction within the Software Engineering (SE) community, impacting various SE …
June Sallou, Thomas Durieux, Annibale Panichella
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Batching for Green AI - An Exploratory Study on Inference
The batch size is an essential parameter to tune during the development of new neural networks. Amongst other quality indicators, it …
Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, Arie van Deursen
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The Two Faces of AI in Green Mobile Computing: A Literature Review
Artificial intelligence is bringing ever new functionalities to the realm of mobile devices that are now considered essential (e.g., …
Wander Siemers, June Sallou, Luís Cruz
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Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI
Modern AI practices all strive towards the same goal: better results. In the context of deep learning, the term “results” often refers …
Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, Arie van Deursen
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Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques
Deployed machine learning systems often suffer from accuracy degradation over time generated by constant data shifts, also known as …
Lorena Poenaru-Olaru, June Sallou, Luís Cruz, Jan Rellermeyer, Arie van Deursen
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Data-Centric Green AI: An Exploratory Empirical Study
With the growing availability of large-scale datasets, and the popularization of affordable storage and computational capabilities, the …
Roberto Verdecchia, Luís Cruz, June Sallou, Michelle Lin, Wickenden James, Estelle Hotellier
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Loop Aggregation for Approximate Scientific Computing
Trading off some accuracy for better performances in scientific computing is an appealing approach to ease the exploration of various …
June Sallou, Alexandre Gauvain, Johann Bourcier, Benoit Combemale, Jean-Raynald de Dreuzy
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