Nanotechnology and AI Impact on Waste Management

Authors:

DOI: 10.23880/nnoa-16000334

Volume 9, Issue 4

Abstract

Solid waste management is one of the most severe global environmental and public health challenges to which innovative, efficient, and sustainable solutions are being called for. Artificial Intelligence and Nanotechnology are among such emerging transformational technologies, providing novel approaches to optimize waste management processes. This paper discourses the potential role of AI and nanotechnology in the management of solid waste, based on a review of the literature, the critical analysis of recent developments, identification of key methods, and technologies that are in development. These include, on one hand, the machine learning algorithms for optimizing AI roles in sorting, recycling, and disposal and, on the other hand, waste treatment, pollution control, and resource recovery through the applications of nanotechnology. This study shines a light on the current trends, challenges, and future directions of these technologies so that an integrated understanding could be achieved on how these technologies will revolutionize waste management and bring sustainability missions closer to completion.

Keywords: Nanotechnology; Artificial Intelligence; Waste Management

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