Bridging Dimensions: Neural Networks in String Theory Research

This chapter delves into the intricate complexities of string theory, particularly the challenge of relating ten-dimensional configurations to our four-dimensional reality. It highlights the innovative use of neural networks to explore Calabi-Yau manifolds in an effort to connect theoretical physics with empirical data.