Sobre este pódcast
“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 episodios · science
Earthly Machine Learning
Sobre este pódcast
“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.
Episodios recientes
- WV-Net: A Foundation Model for SAR Ocean Satellite Imagery30 ago · 21 min
- Toward Skillful Forecasting of Super El Niño Events Using a Diffusion-Based Westerly Wind Burst Parameterization27 ago · 17 min
- Aligning artificial intelligence with climate change mitigation9 may · 19 min
- Machine learning for the physics of climate3 may · 20 min
- Atmospheric Transport Modeling of CO2 With Neural Networks27 abr · 21 min
- On the foundations of Earth foundation models20 abr · 18 min
- Whose weather is it? A fairness framework for data-driven weather forecasting14 abr · 22 min
- Learning predictable and informative dynamical drivers of extreme precipitation using variational autoencoders7 mar · 18 min
- Green and intelligent: the role of AI in the climate transition28 feb · 18 min
- Climate Knowledge in Large Language Models26 ene · 12 min
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