Q&A: Physical scientists turn to deep learning to improve Earth systems modeling
Friday, September 4, 2020 - 08:30
in Earth & Climate
The role of deep learning in science is at a turning point, with weather, climate, and Earth systems modeling emerging as an exciting application area for physics-informed deep learning that can more effectively identify nonlinear relationships in large datasets, extract patterns, emulate complex physical processes, and build predictive models.