Wessel
@ikwess
With @TuringInst • Formerly @MSFTResearch, @CambridgeMLG • GitHub: wesselb • 🦋 http://wessel.ai
Big news!! 🚀 Aurora, a foundation model for the Earth system, has been published in @Nature. A massive congrats to the whole team! Very proud of this achievement, and thrilled to see that it’s finally out there. 😊 nature.com/articles/s4158…
A new paper published in Nature explains how Microsoft’s Aurora AI foundation model goes beyond weather forecasting to more accurately predict a range of environmental events, from hurricanes and typhoons to air quality and ocean waves. msft.it/6019SdLH3
Aurora is fully open! 🥳 The air pollution model 🌬️, the ocean wave model 🌊, and the TC tracker 🌀 are now available. And that's not all: all model weights (pretrained and fine-tuned) are now released under the MIT license. 😎 GitHub: github.com/microsoft/auro… #AIforGood
Wondering how you can forecast whether you can get barrelled tomorrow or not? Tomorrow I’ll be in London to talk about Aurora at UCL, so come check it out! :) (Credits to Magnus Ross for the great promo poster.)

Exciting job update! I am now with the Alan Turing Institute (@turinginst) in London. Our team’s goal is to advance the SOTA in environmental forecasting using end-to-end ML :). Do reach out if you’d like to chat.
We're excited to reveal this major advance in computational chemistry, an AI model called Skala @MSFTResearch for the exchange-correlation functional, accurate enough, and super fast, for precise in silico predictions of chemical experiments. An early access program is now open.
Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, green fertilizers, precision drug discovery, and more. msft.it/6011SQwKX
🚀 After two+ years of intense research, we’re thrilled to introduce Skala — a scalable deep learning density functional that hits chemical accuracy on atomization energies and matches hybrid-level accuracy on main group chemistry — all at the cost of semi-local DFT. ⚛️🔥🧪🧬
Explore the future of environmental forecasting with Aurora, an AI model from Microsoft Research. In this Abstracts episode, @megjanestanley & @ikwess discuss how Aurora is redefining tropical cyclone and ocean wave forecasting. msft.it/6018Sdhn8
🌍Aurora—now published in Nature—is the first AI to unify weather, air quality, wave & hurricane simulations, while outperforming the top numerical models. With Silurian’s founders playing a key role, this is just the start of our vision for planetary-scale AI. More below 👇
Aurora is a new foundation model from @MSFTResearch that goes beyond weather forecasting, delivering faster, more accurate predictions of environmental events. Awesome to see this breakthrough published in @Nature. news.microsoft.com/source/feature…
Just published in @Nature, AI foundation model Aurora @MSFTResearch. It gives the most accurate predictions, not only of weather but also a wide range of environmental events, from hurricanes and typhoons to air quality and ocean waves. Available on @AzureAIFoundry and @ECMWF
A new paper published in Nature explains how Microsoft’s Aurora AI foundation model goes beyond weather forecasting to more accurately predict a range of environmental events, from hurricanes and typhoons to air quality and ocean waves. msft.it/6019SdLH3
Incredibly excited to see that Aardvark-Weather is finally out in Nature!! An amazing project with a truly fantastic team. The lead authors Anna Allen and @stratosmarkou have worked really really hard to make this project happen.
🌦️ New AI model aims to provide weather forecasts entirely driven by AI Research published today in @Nature looks at how Aardvark Weather is reimagining weather prediction. Read our news story: bit.ly/4iG5ThD
`fasttransform` has just been released, and it's powered by Plum (`plum-dispatch`)! 🚀 Very exciting! Check out their release post, and check out Plum on GitHub to see what Plum can do for you. fast.ai/posts/2025-02-… github.com/beartype/plum
We took the `Transform` class out of fastcore, replaced the custom type dispatch system with @ikwess's plum-dispatch, mixed it all together, and voila: fasttransform! :D To learn about fasttransform, check out our detailed blog post. fast.ai/posts/2025-02-…
🎉Excited to announce major new breakthroughs in our Aurora foundation model! Our team (@crisbodnar, @ikwess, @a_lucic, @megjanestanley, Anna Vaughan) has achieved unprecedented results across multiple Earth system forecasting tasks. Here's what's new... 🧵
Yesterday I spoke about foundation models for Earth systems at the @lorentzcenter workshop for advancing ecosystem carbon flux research. It is important to connect with those that could potentially use your research, to see what the current needs and problems really are.

Really excited about this! We've put effort into making the model accessible with code that fits in a Tweet. 😊 pip install microsoft-aurora from aurora import Aurora model = Aurora() model.load_checkpoint("microsoft/aurora", "aurora-0.25-finetuned.ckpt")
1/5 Excited to announce the public code release of Aurora - a foundation model for atmospheric forecasting! 🌎⛅️ Code: github.com/microsoft/auro… Docs: microsoft.github.io/aurora Paper: arxiv.org/abs/2405.13063