Results 11 to 20 of about 189,902 (294)
Towards sustainable AI: a comprehensive framework for Green AI
The rapid advancement of artificial intelligence (AI) has brought significant benefits across various domains, yet it has also led to increased energy consumption and environmental impact.
Abdulaziz Tabbakh +5 more
doaj +4 more sources
Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives. [PDF]
In this paper, we aim to envision 6G convergent terrestrial and non-terrestrial infrastructure of virtual emotion and epidemic prevention with two differential perspectives: Green AI and Red AI, where Green AI focuses on efficiency and reduction, and Red
Kim H, Ben-Othman J, Mokdad L.
europepmc +2 more sources
Exploring AI-enabled green marketing and green intention: An integrated PLS-SEM and NCA approach [PDF]
As the world becomes more conscious of sustainability issues, businesses are progressively adopting green marketing tactics to attract environmentally aware customers.
Osama Sohaib +2 more
doaj +2 more sources
This study investigates the strategic integration of Green Dynamic Capabilities (GDC), artificial intelligence (AI), and electronic entrepreneurial innovation to promote sustainability within entrepreneurial ventures.
Fadi Abdelfattah +3 more
doaj +2 more sources
Evaluating the impact of artificial intelligence development on industrial green transformation in China [PDF]
Amid the booming development of artificial intelligence (AI) and vigorous green transformation, the influence of AI development on industrial green transformation and its mechanisms requires scientific attention.
Weiping Zeng, Zihui Yin
doaj +2 more sources
Toward Green AI: A Methodological Survey of the Scientific Literature [PDF]
The pervasive deployment of Deep Learning models has recently prompted apprehensions regarding their ecological footprint, owing to the exorbitant levels of energy consumption necessitated by the training and inference processes. The term “Red AI
Enrico Barbierato, Alice Gatti
doaj +2 more sources
Green Edge AI: A Contemporary Survey
Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude of industries largely due to their significant resurgence over the past decade. The transformative power of AI is primarily derived from the utilization of deep
Yu, Xianghao +4 more
core +4 more sources
The Green AI Ontology: An Ontology for Modeling the Energy Consumption of AI Models [PDF]
Modeling AI systems’ characteristics of energy consumption and their sustainability level as an extension of the FAIR data principles has been considered only rudimentarily.
Färber, M., Lamprecht, D.
core +3 more sources
FinTech, AI and green outcomes
This paper examines dynamic, frequency-based volatility connectedness using daily data from October 24, 2018, to July 6, 2023. It covers indices in artificial intelligence and Fintech, along with key green market indicators like clean energy, green bonds,
Coskun, Merve +2 more
core +2 more sources
A literature review on AI and the global green value chains
Against the backdrop of increasingly severe global climate change and environmental challenges, the traditional energy-intensive and high-emission global value chain model urgently requires transformation towards greener alternatives.
Jing Ning, Zheng Yang
doaj +2 more sources

