Neuromorphic computing is a type of computing architecture inspired by the brain's neural networks, using artificial neurons and synapses to process information in an energy-efficient manner. Its goal is to create a more powerful type of computing that can better imitate the way the brain processes information, making it well-suited for artificial intelligence (AI) applications. Neuromorphic computing systems can be used to solve complex problems in a more efficient way than traditional computing architectures, and can even be used to create artificial neural networks that mimic the brain's structure.