ISSN: 2168-9806

Journal of Powder Metallurgy & Mining
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  • Expert Review   
  • J Powder Metall Min 2024, Vol 13(1): 1

Artificial Intelligence (AI) in Mining: Transforming Efficiency and Sustainability

Dongxio Lang*
Department of Management Sciences, University of Toronto, Canada
*Corresponding Author : Dongxio Lang, Department of Management Sciences, University of Toronto, Canada, Email: do_ngxio@gmail.com

Received Date: Jan 03, 2024 / Published Date: Jul 31, 2024

Abstract

Artificial Intelligence (AI) has emerged as a pivotal technology transforming the mining industry, revolutionizing traditional practices with advanced analytics, automation, and predictive capabilities. This article explores the multifaceted role of AI in mining operations, examining its applications across exploration, extraction, processing, and logistics. Key topics include AI algorithms such as machine learning and computer vision, data integration through IoT sensors and big data analytics, and the deployment of robotics and autonomous systems for enhanced efficiency and safety. The discussion encompasses AI's impact on operational optimization, environmental sustainability, and workforce safety, highlighting challenges and opportunities in the adoption of AI technologies. As mining companies increasingly embrace AI-driven solutions, collaboration among stakeholders is essential to navigate regulatory frameworks, address cyber security concerns, and ensure responsible AI deployment for sustainable mining practices and future growth

Citation: Dongxio L (2024) Artificial Intelligence (AI) in Mining: Transforming Efficiency and Sustainability. J Powder Metall Min 13: 396.

Copyright: © 2024 Dongxio L. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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