The AIGS podcast tackling AI in earth system modeling and more.

Podcast Overview
The AIGS podcast tackling AI in earth system modeling and more.
Language
πΊπ²
Publishing Since
3/29/2025
1 verified contact email on file for The AIGS Pod
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes

July 26, 2026
Aurora AI beats traditional weather models
The short cut: how Microsoft's Aurora foundation model delivers forecasts in seconds that traditional numerical weather prediction needs hours of supercomputer time to produce.

July 26, 2026
Aurora AI beats multi-billion dollar supercomputers
The long form: Microsoft's Aurora foundation model, pretrained on over a million hours of geophysical data, matches or beats ECMWF-class numerical forecasts at a computational cost orders of magnitude lower.

July 26, 2026
Microsoft Aurora outperforms traditional weather models
One pretrained model, four jobs: we walk through how Aurora fine-tunes a single 3D Swin Transformer backbone into weather forecasting, air pollution tracking, ocean wave modeling, and tropical cyclone tracking.
14 total episodes available
Deep-dive analytics for The AIGS Pod
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is The AIGS Pod?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Information about guest appearances is not available.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.
