Neuromorphic systems are computational architectures inspired by the structure and function of the human brain. These systems aim to mimic the neural networks that enable biological brains to perform complex tasks like pattern recognition, learning, and decision-making. Neuromorphic engineering seeks to develop hardware and software that can emulate these capabilities efficiently.