With @CambridgeMLG • Formerly @MSFTResearch, ATI • GitHub: wesselb • 🦋 https://xitter.cf/t.co/2uqITOvgeZ
Utrecht
Joined December 2019
- Tweets202
- Following143
- Followers885
- Likes376
Pinned Tweet
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/s41586-0…
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
We are looking for a new Research Associate for Project Cumulus at the University of Cambridge. Project Cumulus aims to develop new AI approaches to subseasonal weather forecasting, with a particular focus on supporting farming communities in Africa.
lnkd.in/p/eJZudKth
Working on interpretability for AI weather models? 🌦️
Then you might be interested in the XAI4Science workshop at NeurIPS (Knowledge Discovery and Trust through Interpretable Foundation Models)!
Submissions are welcome until 29 Aug AoE.
xai4science.github.io/
Wessel retweeted
Aurora 1.5 adds 22 more variables, hourly temporal resolution, and probabilistic ensemble forecasting to the Aurora foundation model, making it more useful for real-world weather, climate, and energy applications. msft.it/6017vInGR
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/aurora
#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.
Wessel retweeted
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
ALT Alt Text: A dark blue, wavy surface with multiple colorful spheres placed on it. The spheres are in various colors including red, green, blue, yellow, purple, and orange. Each sphere is surrounded by small white particles that appear to be floating around them. The background is a gradient of dark teal to black.
Wessel retweeted
🚀 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. ⚛️🔥🧪🧬
Wessel retweeted
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
ALT Illustrated image of Megan Stanley and Wessel Bruinsma. "Abstracts: A Microsoft Research Podcast” runs along the bottom.
Wessel retweeted
🌍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 👇
Wessel retweeted
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/fe…
Wessel retweeted
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/2025-02-20-fas…
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/2025-02-20-fas…
Wessel retweeted
🎉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/aurora
Docs: microsoft.github.io/aurora
Paper: arxiv.org/abs/2405.13063
I’m *finally* publicly announcing my PhD thesis! It’s been over two years, but here it is:
arxiv.org/abs/2408.09583
github.com/wesselb/phd-thesi…
Since it’s been so long, this gives me an opportunity to look back and reflect. Some commentary below.
🧵 1/8
