Network Architecture Search (NAS) is an automated process that aims to optimize neural network architectures to achieve superior performance on specific tasks. By leveraging search algorithms and evaluation metrics, NAS can explore a vast space of potential architectures, reducing the need for manual design and expertise in crafting neural networks.