[HTML][HTML] Green artificial intelligence initiatives: Potentials and challenges

YI Alzoubi, A Mishra - Journal of Cleaner Production, 2024 - Elsevier
Recently, the widespread adoption of artificial intelligence, particularly generative AI
technology, has surged across various industries. However, a notable drawback of this …

Green edge AI: A contemporary survey

Y Mao, X Yu, K Huang, YJA Zhang… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …

AI‐based R&D for frozen and thawed meat: Research progress and future prospects

J Qiao, M Zhang, D Wang… - … Reviews in Food …, 2024 - Wiley Online Library
Frozen and thawed meat plays an important role in stabilizing the meat supply chain and
extending the shelf life of meat. However, traditional methods of research and development …

General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance

I Triguero, D Molina, J Poyatos, J Del Ser, F Herrera - Information Fusion, 2024 - Elsevier
Abstract Most applications of Artificial Intelligence (AI) are designed for a confined and
specific task. However, there are many scenarios that call for a more general AI, capable of …

Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study

J Castaño, S Martínez-Fernández… - 2023 ACM/IEEE …, 2023 - ieeexplore.ieee.org
Background: The rise of machine learning (ML) systems has exacerbated their carbon
footprint due to increased capabilities and model sizes. However, there is scarce knowledge …

Breaking the silence: the threats of using llms in software engineering

J Sallou, T Durieux, A Panichella - Proceedings of the 2024 ACM/IEEE …, 2024 - dl.acm.org
Large Language Models (LLMs) have gained considerable traction within the Software
Engineering (SE) community, impacting various SE tasks from code completion to test …

[HTML][HTML] The growing energy footprint of artificial intelligence

A de Vries - Joule, 2023 - cell.com
Alex de Vries is a PhD candidate at the VU Amsterdam School of Business and Economics
and the founder of Digiconomist, a research company dedicated to exposing the unintended …

[HTML][HTML] Energy-efficient neural network training through runtime layer freezing, model quantization, and early stopping

ÁD Reguero, S Martínez-Fernández… - Computer Standards & …, 2025 - Elsevier
Background: In the last years, neural networks have been massively adopted by industry
and research in a wide variety of contexts. Neural network milestones are generally reached …

[HTML][HTML] Development and evaluation of a reference measurement model for assessing the resource and energy efficiency of software products and components …

A Guldner, R Bender, C Calero, GS Fernando… - Future Generation …, 2024 - Elsevier
In the past decade, research on measuring and assessing the environmental impact of
software has gained significant momentum in science and industry. However, due to the …

Data-centric green artificial intelligence: A survey

S Salehi, A Schmeink - IEEE Transactions on Artificial …, 2023 - ieeexplore.ieee.org
With the exponential growth of computational power and the availability of large-scale
datasets in recent years, remarkable advancements have been made in the field of artificial …