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Neuromorphic Computing in Smart Infrastructure

  • Ali Akbar Firoozi,
  • Ali Asghar Firoozi

摘要

This chapter explores the transformative integration of neuromorphic computing with smart infrastructure within the field of civil engineering, marking a significant evolution from traditional static structures to dynamic, intelligent systems. It delves into how neuromorphic computing enhances the functionality, resilience, and adaptability of urban infrastructures such as transportation systems, energy grids, and buildings. Through advanced data processing capabilities and real-time decision-making, neuromorphic systems enable infrastructure to not only respond to changes in their environment but also predict and adapt to future conditions. The chapter outlines the core aspects of smart infrastructure, discusses the challenges and opportunities presented by integrating neuromorphic computing, and examines case studies where these technologies have been applied in real-world scenarios. This exploration highlights the potential of neuromorphic computing to revolutionize civil engineering practices, making urban areas more efficient, sustainable, and resilient against the challenges posed by rapid urbanization and climate change.