Über diesen 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 Folgen · science
Earthly Machine Learning
Über diesen 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.
Neue Folgen
- WV-Net: A Foundation Model for SAR Ocean Satellite Imagery30. Aug. · 21 Min.
- Toward Skillful Forecasting of Super El Niño Events Using a Diffusion-Based Westerly Wind Burst Parameterization27. Aug. · 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. Apr. · 21 Min.
- On the foundations of Earth foundation models20. Apr. · 18 Min.
- Whose weather is it? A fairness framework for data-driven weather forecasting14. Apr. · 22 Min.
- Learning predictable and informative dynamical drivers of extreme precipitation using variational autoencoders7. März · 18 Min.
- Green and intelligent: the role of AI in the climate transition28. Feb. · 18 Min.
- Climate Knowledge in Large Language Models26. Jan. · 12 Min.
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