Differentiable Programming for Oceanography with Patrick Heimbach - #557
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Machine Learning in Oceanographic Simulations
This chapter explores the integration of physics-guided machine learning in oceanography, focusing on enhancing computational efficiency and accuracy in modeling ocean dynamics. It discusses the challenges of simulating subgrid scales and how machine learning techniques can develop better surrogate models by incorporating governing equations and physical properties.
Transcript
Play full episode
