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Green AI: When sustainability makes AI-based systems better

Invited lecture given on Dec, 13th, 2025 to MSc Software Architecture students (University of L’Aquila, Italy. Course managed by Prof. Henry Muccini.) on how sustainability influences AI-based system design (special use case of an ensemble learning study). 
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Probabilistic feasibility space of scaling up green hydrogen supply

Nature Energy, 2022
Adrian Odenweller   +2 more
exaly  

ACCELERATING GREEN CHEMISTRY WITH AI TECHNOLOGIES

In recent years, the intersection of artificial intelligence (AI) and chemistry has sparked a profound transformation in molecular science. As we stand on the brink of a new era in scientific discovery, the application of AI technologies promises to revolutionize the way we understand, analyze, and manipulate chemical systems.
Agnihotri, Laxmi, Tiwari, Kanha Singh
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Green, Turquoise, Blue, or Grey? Environmentally friendly Hydrogen Production in Transforming Energy Systems

Progress in Energy and Combustion Science, 2022
Matthias Hermesmann, Thomas E Müller
exaly  

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 ...
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Nanocellulose, a Versatile Green Platform: From Biosources to Materials and Their Applications

Chemical Reviews, 2018
Audrey Moores   +2 more
exaly  

Green Chemistry: Principles and Practice

Chemical Society Reviews, 2010
Paul Anastas
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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