Abstract
Artificial intelligence (AI) and neural networks have emerged as powerful tools for addressing global environmental challenges. These technologies can play a key role in reducing environmental footprints by optimizing energy consumption, improving resource management, and enhancing environmental monitoring systems. This article explores how neural networks, particularly deep learning models, are being applied to environmental sustainability efforts. We discuss AI’s role in areas such as energy efficiency, waste management, sustainable agriculture, and climate change mitigation, and explore the potential for neural networks to drive further environmental improvements..AI

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