Neuromorphic computing is a type of computing that mimics the way the human brain processes information. It uses specialized hardware designed to replicate the neural structures and functions of biological systems. This approach allows for more efficient data processing, particularly for tasks like pattern recognition and sensory processing. By imitating the brain's architecture, neuromorphic systems can perform complex computations with lower energy consumption compared to traditional computers. This technology has potential applications in areas such as artificial intelligence, robotics, and machine learning, where understanding and responding to real-world stimuli is crucial.