Neural Networks for Solving Partial Differential Equations - Theory and Applications

Dive into the theoretical foundations of utilizing neural networks to solve partial differential equations (PDEs) in this 25-minute Wolfram talk. Gain comprehensive insights into cutting-edge methodologies and their practical applications, with special emphasis on addressing high-dimensional PDEs through machine learning approaches. Learn about the current state of the art in this emerging field where computational mathematics meets artificial intelligence.