Neuromorphic computing mimics the brain's energy-efficient design by integrating memory and processing and using event-driven computation, potentially reducing power consumption from thousands of watts to roughly 20 watts. Applications like event cameras for autonomous vehicles and space debris tracking demonstrate practical benefits including low latency, improved performance in extreme lighting, and enhanced data privacy by processing information locally rather than sending it to the cloud.