Faster Faster — Machine Learning for Storm-resolving Earth System Models | AI FOR GOOD DISCOVERY
Exa-scale computing is enabling Earth-system models with greatly increased physical fidelity. These advances come at considerable computational cost. Machine learning, through its ability to efficiently identify, extract, and manipulate the information content of this new generation of models, can contribute to efforts to use these new models most effectively, advancing methods that may also generalize to a larger class of problems.
Watch the latest #AIforGood videos:
Explore more #AIforGood content:
• Top Hits
• AI for Good Webinars
• AI for Good Keynotes
Discover what's next on our programme!
https://aiforgood.itu.int/programme/
Social Media:
Website: https://aiforgood.itu.int/
Twitter: https://twitter.com/ITU_AIForGood
LinkedIn Page: https://www.linkedin.com/company/26511907
LinkedIn Group: https://www.linkedin.com/groups/8567748
Instagram: https://www.instagram.com/aiforgood
Facebook: https://www.facebook.com/AIforGood
What is AI for Good?
The AI for Good series is the leading action-oriented, global & inclusive United Nations platform on AI. The Summit is organized all year, always online, in Geneva by the ITU with XPRIZE Foundation in partnership with over 35 sister United Nations agencies, Switzerland and ACM. The goal is to identify practical applications of AI and scale those solutions for global impact.
Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
#AIforGoodDiscovery #AIforClimateScience