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Activation Compression of Graph Neural Networks Using Block-Wise Quantization with Improved Variance Minimization
Efficient training of large-scale graph neural networks (GNNs) has been studied with a
specific focus on reducing their memory consumption. Work by Liu et al.(2022) proposed …
specific focus on reducing their memory consumption. Work by Liu et al.(2022) proposed …
Monitor the energy and carbon emissions of process-based models: ProcessC
Sustainable modelling to reduce carbon emissions from heavy computations is being
adopted in machine learning communities. However, this concept has not been considered …
adopted in machine learning communities. However, this concept has not been considered …
Carbon Accounting in the Digital Industry: The Need to Move towards Decision Making in Uncertainty
In this paper, we present findings from a qualitative interview study, which highlights the
difficulties and challenges with quantifying carbon emissions and discusses how to move …
difficulties and challenges with quantifying carbon emissions and discusses how to move …
Is Adversarial Training with Compressed Datasets Effective?
Equity through Access: A Case for Small-scale Deep Learning
The recent advances in deep learning (DL) have been accelerated by access to large-scale
data and compute. These large-scale resources have been used to train progressively …
data and compute. These large-scale resources have been used to train progressively …
Limits to AI Growth: The Ecological and Social Consequences of Scaling
The accelerating development and deployment of AI technologies depend on the continued
ability to scale their infrastructure. This has implied increasing amounts of monetary …
ability to scale their infrastructure. This has implied increasing amounts of monetary …
Harnessing ai for sustainable architecture: A tows analysis of environmental, economic, and social impacts in design
JD Salazar Rodriguez - Economic, and Social Impacts in Design …, 2024 - papers.ssrn.com
This study explores the role of Artificial Intelligence (AI) in enhancing sustainability within
architectural design, focusing on environmental, economic, and social dimensions. With AI …
architectural design, focusing on environmental, economic, and social dimensions. With AI …
[PDF][PDF] A Critical Analysis of Machine Learning Eco-feedback Tools through the Lens of Sustainable HCI
Authors' Contact Information: Sinem Görücü, sinem. gorucu@ kcl. ac. uk, King's College
London, London, UK; Luiz A. Morais, lamm@ cin. ufpe. br, Universidade Federal de …
London, London, UK; Luiz A. Morais, lamm@ cin. ufpe. br, Universidade Federal de …
[HTML][HTML] The Climate and Sustainability Implications of Generative AI
The rapid expansion of generative artificial intelligence (Gen-AI) is propelled by its
perceived benefits, significant advancements in computing efficiency, corporate …
perceived benefits, significant advancements in computing efficiency, corporate …