Research/
Machine Learning Models Map Previously Unobservable Deep-Ocean Currents
Researchers are utilizing machine learning to bridge data gaps in oceanography, allowing for the tracking of currents in regions where physical sensors are scarce. The approach combines satellite altimetry with neural networks to predict fluid dynamics and heat transport across global oceans.