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Neuromorphic computing refers to a computing paradigm inspired by the structure and function of the human brain, utilizing artificial neural networks to process information in a manner akin to biological systems. This approach enhances efficiency in data processing and enables real-time learning and adaptation, making it particularly suitable for applications in artificial intelligence and machine learning. By mimicking neural architectures, neuromorphic computing aims to revolutionize product design and innovation in various fields, including robotics, sensory processing, and cognitive computing.