NATS

NATS (Neural Architecture Transfer & Search) is a technique used in artificial intelligence to automatically discover efficient and effective neural network designs. By exploring many possible configurations, NATS identifies architectures that improve performance on tasks like image recognition or language processing. It streamlines the process of designing AI models, reducing the need for manual trial-and-error. Essentially, NATS helps build smarter, faster AI systems by intelligently searching for the best neural network structures, making AI development more automated, efficient, and accessible.