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This article provides a detailed exploration of neuromorphic computing, a cutting-edge field that aims to build computers that function more like biological brains. It explains the core concepts of neuromorphic chips, including spiking neural networks and analog processing, and contrasts them with traditional Von Neumann architectures. Discover how this technology promises to deliver unprecedented energy efficiency and performance for AI tasks, and learn about the research and development efforts by leading institutions and companies. The article also discusses potential applications in edge AI, sensor processing, and complex pattern recognition.