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Abstracts: Aurora with Megan Stanley and Wessel Bruinsma

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Manage episode 484054191 series 1910051
Content provided by Researchers across the Microsoft research community. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Researchers across the Microsoft research community or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of Abstracts, Microsoft senior researchers Megan Stanley and Wessel Bruinsma join host Amber Tingle to discuss their groundbreaking work on environmental forecasting. Their new Nature publication, "A Foundation Model for the Earth System," features Aurora, an AI model that redefines weather prediction and extends its capabilities to other environmental domains such as tropical cyclones and ocean wave forecasting.

Read the paper: A Foundation Model for the Earth System

  continue reading

281 episodes

Artwork
iconShare
 
Manage episode 484054191 series 1910051
Content provided by Researchers across the Microsoft research community. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Researchers across the Microsoft research community or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of Abstracts, Microsoft senior researchers Megan Stanley and Wessel Bruinsma join host Amber Tingle to discuss their groundbreaking work on environmental forecasting. Their new Nature publication, "A Foundation Model for the Earth System," features Aurora, an AI model that redefines weather prediction and extends its capabilities to other environmental domains such as tropical cyclones and ocean wave forecasting.

Read the paper: A Foundation Model for the Earth System

  continue reading

281 episodes

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