Earthly Machine Learning
Amirpasha“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.
| Publishes | Weekly | Episodes | 43 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | ScienceEarth Sciences | |||
Listen to this Podcast
Latest Episodes
Score-based diffusion nowcasting of GOES imagery
*Randy J. Chase, Katherine Haynes, Lander Ver Hoef, Imme Ebert-Uphoff, a Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, b Electrical and Computer En... more
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution
*Qiusheng Huang, Yuan Niu, Xiaohui Zhong, Anboyu Guo, Lei Chen, Dianjun Zhang, Xuefeng Zhang, Hao Li*
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* **First Data-Driven Sub-Daily Global Forecast:** FuXi-Ocean is the ... more
Beyond the Training Data: Confidence-Guided Mixing of Parameterizations in a Hybrid AI-Climate Model
*By Helge Heuer, Tom Beucler, Mierk Schwabe, Julien Savre, Manuel Schlund, and Veronika Eyring*
* This paper presents a **successful proof-of-conce... more
Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
(By Noah D. Brenowitz, Tao Ge, Akshay Subramaniam, Peter Manshausen, Aayush Gupta, David M. Hall, Morteza Mardani, Arash Vahdat, Karthik Kashinath, ... more
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Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #51 |  Germany/Science/Earth Sciences |
Apple Podcasts | #22 |  Mexico/Science/Earth Sciences |
Apple Podcasts | #36 |  Japan/Science/Earth Sciences |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
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| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
Frequently Asked Questions About Earthly Machine Learning
What is Earthly Machine Learning about and what kind of topics does it cover?
Targeting an audience interested in the intersection of artificial intelligence and climate science, the content emphasizes recent advancements in machine learning techniques applied to weather forecasting and environmental monitoring. Each episode typically dives into a specific research paper, unpacking its findings and significance to equip listeners with the knowledge required to engage with the latest scientific literature. The podcast highlights innovative frameworks and models that promise to enhance predictive capabilities in climate science, thus offering listeners insights into the future of AI in understanding Earth systems.
Where can I find podcast stats for Earthly Machine Learning?
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How many listeners does Earthly Machine Learning get?
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What are the audience demographics for Earthly Machine Learning?
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How many subscribers and views does Earthly Machine Learning have?
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Which podcasts are similar to Earthly Machine Learning?
These podcasts share a similar audience with Earthly Machine Learning:
1. Practical AI
How many episodes of Earthly Machine Learning are there?
Earthly Machine Learning launched a year ago and published 43 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact Earthly Machine Learning?
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Where can I see ratings and reviews for Earthly Machine Learning?
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