À propos de ce podcast
“Earthly Machine Learning (EML)” offers AI-generated insights into cutting-edge machine learning research in weather and climate sciences. Powered by Google NotebookLM, each episode distils the essence of a standout paper, helping you decide if it’s worth a deeper look. Stay updated on the ML innovations shaping our understanding of Earth. It may contain hallucinations.
55 épisodes · Aardwetenschappen
Earthly Machine Learning
À propos de ce podcast
“Earthly Machine Learning (EML)” offers AI-generated insights into cutting-edge machine learning research in weather and climate sciences. Powered by Google NotebookLM, each episode distils the essence of a standout paper, helping you decide if it’s worth a deeper look. Stay updated on the ML innovations shaping our understanding of Earth. It may contain hallucinations.
Épisodes récents
- CORDEX-ML-Bench: A Benchmark for Data-Driven Regional Climate Downscaling—Experiment Design and Overview13 sept. · 20 min
- AIMIP Phase 1: Systematic Evaluations of AI Weather and Climate Models6 sept. · 19 min
- WV-Net: A Foundation Model for SAR Ocean Satellite Imagery30 août · 21 min
- Toward Skillful Forecasting of Super El Niño Events Using a Diffusion-Based Westerly Wind Burst Parameterization27 août · 17 min
- Aligning artificial intelligence with climate change mitigation9 mai · 19 min
- Machine learning for the physics of climate3 mai · 20 min
- Atmospheric Transport Modeling of CO2 With Neural Networks27 avr. · 21 min
- On the foundations of Earth foundation models20 avr. · 18 min
- Whose weather is it? A fairness framework for data-driven weather forecasting14 avr. · 22 min
- Learning predictable and informative dynamical drivers of extreme precipitation using variational autoencoders7 mars · 18 min
podlinkr.com/fr/earthly-machine-learning
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