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 | 37 | Founded | 9 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | ScienceEarth Sciences | |||
Listen to this Podcast
Latest Episodes
XiChen: An observation-scalable fully AI-driven global weather forecasting system with 4D variational knowledgeAuthors: Wuxin Wang, Weicheng Ni, Lilan Huang, Tao Han, Ben Fei, Shuo Ma, Taikang Yuan, Yanlai Zhao, Kefeng Deng, Xiaoyong Li, Boheng Duan,... more
A data-to-forecast machine learning system for global weather
Xiuyu Sun et al. (2025). A data-to-forecast machine learning system for global weather. Nature Communications, doi.org/10.1038/s41467-025-62024-1
• FuXi Weather is introduced as... more
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Boris Bonev, Thorsten Kurth, Ankur Mahesh, Mauro Bisson, Jean Kossaifi, Karthik Kashinath, Anima Anandkumar, William D. Collins, Michael S. Pritchard, ... more
Can AI weather models predict out-of-distribution gray swan tropical cyclones?by Y. Qiang Sun, Pedram Hassanzadeh, Mohsen Zand, Ashesh Chattopadhyay, Jonathan Weare, and Dorian S. Abbot
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Inability to Extrapolate to Gray Swans Globally: AI weathe... more
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Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #60 |  Germany/Science/Earth Sciences |
Apple Podcasts | #92 |  France/Science/Earth Sciences |
Apple Podcasts | #61 |  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 9 months ago and published 37 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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