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Green AI: Minimizing Environmental Cost of AI Model Training and Deployment

ADHYAYAN: A JOURNAL OF MANAGEMENT SCIENCES
The rapid development of artificial intelligence (AI), particularly deep learning models, has contributed to transformative innovations across various industries. The environmental influence of AI model training and deployment, especially energy consumption and carbon emissions through large-scale computational tasks, has gained increasing attention ...
openaire   +1 more source

Water Splitting: From Electrode to Green Energy System

Nano-Micro Letters, 2020
Xiaoli Zhang, Hong Liu, Weijia Zhou
exaly  

Does green transformational leadership lead to green innovation? The role of green thinking and creative process engagement

Business Strategy and the Environment, 2022
Saira Begum, Muhammad Ashfaq, Enjun Xia
exaly  

Green AI: The Path to Becoming a Climate Conscious AI Engineer

The presentation “Green AI: The Path to Becoming a Climate-conscious AI Engineer” by Sagar Sen at Molde University College explores the environmental impact of artificial intelligence. It highlights how AI’s growing energy demands—especially from generative models—pose sustainability challenges.
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Green Chemistry: Principles and Practice

Chemical Society Reviews, 2010
Paul Anastas
exaly  

Green AI from Kirchhoff to Shannon

2022
Mihai Tache   +3 more
openaire   +1 more source

On Green-Energy-Powered Cognitive Radio Networks

IEEE Communications Surveys and Tutorials, 2015
Xueqing Huang, Tao Han, Nirwan Ansari
exaly  

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