Neuromorphic engineering is an interdisciplinary field that takes inspiration from the human brain to develop computational systems. These systems are designed to mimic the architecture and functioning of neural networks, thereby offering more efficient and adaptive processing capabilities. The goal is to create hardware that can perform tasks such as pattern recognition and sensory processing more efficiently than traditional computing systems.