Results 1 to 10 of about 3,006,182 (298)
What Makes an AI Persuasive? The Interaction Effect of AI Shopping Assistants and Algorithmic Recommendation Cues on Consumers’ Organic Food Purchase Intention [PDF]
FoodsPromoting consumers’ organic food purchases is an important way to drive the green transformation of the demand side of food consumption and achieve sustainable development.
Sinan Li, Kai Chen
doaj +2 more sources
Green AI - A multidisciplinary approach to sustainability. [PDF]
Environ Sci EcotechnolHuang J, Gopal S.
europepmc +4 more sources
Communications of the ACM, 2020 Creating efficiency in AI research will decrease its carbon footprint and increase its inclusivity as deep learning study should not require the deepest pockets.
Roy Schwartz 0001 +3 more
openaire +3 more sources
A systematic review of Green
WIREs Data Mining and Knowledge Discovery, 2023 AbstractWith the ever‐growing adoption of artificial intelligence (AI)‐based systems, the carbon footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to hold themselves accountable for the carbon emissions of the AI models they design and use.
Roberto Verdecchia +2 more
openaire +4 more sources
A review of green AI research under carbon peaking and neutrality goals
Zhejiang dianli, 2023 The large-scale training of artificial intelligence （AI） has led to a significant surge in computational resource demands， energy consumption， and carbon emissions， which not only poses severe challenges to the realization of carbon peaking and ...
LU Yudong, CHEN Yi
doaj +1 more source
Breast, 2020 Integrated breast cancer care is complex, marked by multiple hand-offs between primary care and specialists over an extensive period of time. Communication is essential for treatment compliance, lowering error and complication risk, as well as handling ...
E.C. Moser, Gayatri Narayan
doaj +1 more source
AI as an Essential Element of a Green 6G [PDF]
IEEE Transactions on Green Communications and Networking, 2021 Since the very beginning of global R&D activities on fifth generation wireless communications (5G), IEEEPAR energy-efficiency (EE) has been considered explicitly as one of the essential key performance indicators for wireless networks, and attracted much attention from academia and industry.
openaire +2 more sources
Asynchronous layerwise deep learning with MCMC on low-power devices [PDF]
ESAIM: Proceedings and SurveysWe present a new architecture to learn a light neural network using an asynchronous layerwise bayesian optimization process deployed on low-power devices. The procedure is based on a sequence of five modules.
Francois M. +6 more
doaj +1 more source
Beyond Red AI: A Green Agentic-XAI Framework, for Energy-Efficient and High-Fidelity Learning Analytics [PDF]
EPJ Web of ConferencesIn Educational Intelligent Systems, the quick appropriation of explainable AI seems to generate a real tension between pedagogical transparency, and computational sustainability. While trust-building methods like, SHAP (Shapley Additive Explanations) are
Himri Khadija +2 more
doaj +1 more source
Batching for Green AI - An Exploratory Study on Inference
2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2023 The batch size is an essential parameter to tune during the development of new neural networks. Amongst other quality indicators, it has a large degree of influence on the model's accuracy, generalisability, training times and parallelisability. This fact is generally known and commonly studied.
Tim Yarally +4 more
openaire +2 more sources