P Adic

P-adic numbers, a non-standard number system, are finding increasing application in various scientific fields. Current research focuses on leveraging their unique mathematical properties to improve model architectures in machine learning, particularly in neural networks and deep learning, where p-adic metrics are showing promise in tasks like image processing and linguistic modeling. This approach offers potential advantages in handling hierarchical data structures and complex relationships, as demonstrated by applications in modeling language structures and improving the performance of deep belief networks. The ultimate goal is to exploit the mathematical framework of p-adic numbers to create more efficient and powerful computational models.