An Analysis Of Green Artificial Intelligence As A Major Receiver Improvement Finalized Red Ai & Execution Of The Environmental Footprint Toward Increasing Green Artificial Intelligence.

Volume 20 No 17 (2022)

Bindiya Jain, Dr. Rajeev Sharma, Dr. Nitesh Kaushik

DOI: 10.48047/NQ.2022.20.17.NQ880214

Abstract

In this paper, we can analyze Green AI, which refers to green artificial intelligence used for a sustainable environment. Green AI models with lower computational costs and fewer carbon emissions. The emission of energy by any software can be calculated with the help of two ways first calculate the energy the hardware consumes and second total energy consumed by manufacturing the hardware which is used by running particular software. Green software carbon intensity is a methodology for calculating carbon emissions by any software system. This paper analyzes some strategies for reducing energy consumption, carbon intensity, and energyefficient code for programmer-making software. The main vision of green AI is to reduce computational expenses and improve performance in resource management with an advanced renewable concept.

Keywords

Green AI; Artificial Intelligence; Decoupling Carbon Footprint; Energy Efficient System; Computational Operations; Neural Network; Large Energy Generation; Material Development Energy; Sustainable Development.

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