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Research on AI Computational Energy Consumption Optimization and Green AI [PDF]

SHS Web of Conferences
With the rapid development of Artificial Intelligence (AI), many deep learning models have been extensively applied in various fields, and correspondingly, the environmental issues arising from the development of AI have become one of the pressing ...
Xu Jiawei
doaj   +2 more sources

Towards sustainable AI: a comprehensive framework for Green AI

Discover Sustainability
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, Lisan Al Amin, Mahbubul Islam, G. M. Iqbal Mahmud, Imranul Kabir Chowdhury, Md Saddam Hossain Mukta   +5 more
doaj   +2 more sources

Green AI - A multidisciplinary approach to sustainability. [PDF]

Environ Sci Ecotechnol
Huang J, Gopal S.
europepmc   +4 more sources

Green AI [PDF]

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.
Schwartz, Roy, Dodge, Jesse, Smith, Noah A., Etzioni, Oren   +3 more
openaire   +2 more sources

A systematic review of Green AI

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.
Verdecchia R., Sallou J., Cruz L.
openaire   +2 more sources

Research on the Application Mode of Green Environment Design under the Background of Artificial Intelligence

Complexity, 2021
In the field of green environmental design, the design system of environmental art is a complex and multidimensional cross-domain fusion system, which can be regarded as a large task system. The development model that combines artificial intelligence (AI)
Hui Liu, Guanghui Song, Linlin Yan
doaj   +1 more source

Asynchronous layerwise deep learning with MCMC on low-power devices [PDF]

ESAIM: Proceedings and Surveys
We 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., Gay P., Lebeaud S., Loustau S., Palafox J., Sow F.K., Tirel N.   +6 more
doaj   +1 more source

Attracting and repelling Lagrangian coherent structures from a single computation [PDF]

, 2013
Hyperbolic Lagrangian Coherent Structures (LCSs) are locally most repelling or most attracting material surfaces in a finite-time dynamical system. To identify both types of hyperbolic LCSs at the same time instance, the standard practice has been to ...
Farazmand, Mohammad, Haller, George
core   +1 more source

Fine structure and biochemical properties of purified cytochrome oxidase [PDF]

, 1969
For the purpose to reveal the correlation between molecular structure and biochemical functions of cytochrome oxidase the author studied purified cytochrome oxidase by using high resolution electron microscope and biochemical methods. 1.
Seki, Shuji
core   +1 more source

Inclusive green growth effects of China’s artificial intelligence development [PDF]

Ziyuan Kexue
[Objective] In the context of the increasingly urgent need for green and low-carbon transition of economy and society, exploring the impact and mechanisms of artificial intelligence (AI) development on inclusive green growth has become a crucial research
HAN Xianfeng, LI Jiajia, ZHU Chengliang
doaj   +1 more source