Artificial Intelligence and Neural Networks for Sustainable Urban Development

Abstract

Sustainable urban development is a critical aspect of addressing global challenges such as climate change, rapid urbanization, and resource management. Artificial intelligence (AI) and neural networks have the potential to significantly enhance the efficiency, livability, and resilience of urban environments. This article explores the applications of AI and neural networks in sustainable urban development, focusing on energy management, transportation optimization, and smart city infrastructure. It also discusses the challenges and future directions for integrating AI-driven solutions into urban planning and development.