Joined April 2016
- Tweets 3,091
- Following 974
- Followers 55,778
- Likes 9,438
185 Photos and videos
Pinned Tweet
16 Oct 2024
New 20hr bootcamp on Probability & Statistics!!!
Videos released weekly but full playlist already posted:
youtube.com/watch?v=sQqniayn…
Probability & Statistics are cornerstones of data science and machine learning. This course rapidly covers the basics and gets into advanced topics.
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Steven Brunton retweeted
New YouTube video!!
We are thrilled to present our AIAA Community Challenge, open to all participants, and we are expecting submissions on: compression, forecasting and sensing.
Video: youtu.be/zfUbIveDJak?si=z5_B…
More information on the paper: arxiv.org/abs/2601.06183
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Steven Brunton retweeted
Our new Perspective is out in @CommsPhys: Decoding complexity through machine learning is redefining scientific discovery! We discuss how ML is reshaping science across systems with known, partial, or unknown governing principles!!
doi.org/10.1038/s42005-026-0…
#AI4Science #Discovery
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Steven Brunton retweeted
New preprint! 🚀
Policy-DRIFT combines generative modeling DRL for turbulence control!!
arxiv.org/html/2605.14022v1
• 48.95% drag reduction
• ~16% higher than DRL
• ~37× lower actuation energy
Preprint: [add link]
#AI #Turbulence #FluidMechanics #SciML
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May 18
Fun behind-the-scenes article about our lightboard studio at UW!!
linkedin.com/feed/update/urn…
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May 15
I Wrote a New Book!!!
Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control
Pre-Order Now (July 31)
amazon.com/Optimization-Boot…
Coming Soon:
* Free PDF on website
* YouTube Videos for entire book
* Python code on GitHub
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May 17
Many of you have been asking for the table of contents, so here they are:
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May 16
You all are amazing -- within 24 hours, you put this in the top 3 math books on amazon!!! 🙏🧠💪
May 15
I Wrote a New Book!!!
Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control
Pre-Order Now (July 31)
amazon.com/Optimization-Boot…
Coming Soon:
* Free PDF on website
* YouTube Videos for entire book
* Python code on GitHub
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Steven Brunton retweeted
Very proud of the VinuesaLab! We have been one of the winners of the "Empowering Research with AI Award" at @UMich , with the project "Explainability and reinforcement learning leading to scientific breakthroughs in turbulence". Congratulations to everyone in the team!
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Steven Brunton retweeted
8 May 2024
20 years ago this week, as a new PhD, I presented a talk at Caltech on how the interplay of gravity between the sun, planets, and moons create low-energy pathways for spacecraft travel throughout the solar system.
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Steven Brunton retweeted
May 2
Not every path through space is obvious
Some are hidden in dynamics: natural but unintuitive free-fall pathways shaped by the intricacies of gravity itself
This is part of what’s often called the interplanetary superhighway
We’re still learning how to use it
#NationalSpaceDay
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May 1
Apply to our UW’s Master’s degree and Graduate Certificate in AI & Machine Learning for Engineering!
Join us at UW to build skills at the cutting edge of AI for Engineering!!
Application deadline: June 1, 2026
uw.edu/ai4eng-edu
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Steven Brunton retweeted
New paper: we introduce a model-agnostic AI framework for long-term fluid prediction by combining explicit time integration with adaptive multi-step rollout:
academic.oup.com/jcde/articl…
Adams–Bashforth adaptive weighting gives robust vortex-shedding forecasts!
#SciML #CFD #AI
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Steven Brunton retweeted
Do you want to use DRL to control the turbulent flow around wings?Learn the physics in simple channel flows and do a zero-shot evaluation of the models in wings! Have look at our latest video!!
youtu.be/yrD8cdBq3_Y?si=aiAi…
Thanks Y. Wang, P. Suarez and the Hydrogym team @eigensteve!!
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Steven Brunton retweeted
New inControl episode out! 🎙 This time Steve Brunton, aka @eigensteve 🎥, walks us through data-driven modeling and control: from DMD and Koopman operator theory, to SINDy, explainable AI 🤖, HydroGym 🌊, and how to teach math to half a million people! 🚀
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Steven Brunton retweeted
Very excited to share our latest preprint, where we developed an effective way to train DRL agents on channel flows, and evaluate them zero shot on turbulent wings! 60 times faster and over 10,000 times cheaper than training directly on the wing!!
arxiv.org/abs/2604.09434
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Steven Brunton retweeted
Apr 10
Reminder that I wrote a little book about deep-learning, which is phone-formatted, entirely free, and nearing the 1M download:
fleuret.org/francois/lbdl.ht…
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Steven Brunton retweeted
Relaunching my YouTube channel 🚀
After a recent account transition, I’m restarting with a clearer focus on:
• AI for scientific discovery
• Fluid mechanics
• Interpretable ML
New videos coming soon, excited for this next phase!!
youtube.com/@VinuesaLab
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Steven Brunton retweeted
Apr 3
When Kumiko (組子) Meets Computational Fluid Dynamics (CFD): vortex shedding.
Just beautiful, at every scale.
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Steven Brunton retweeted
New video!! Super excited to share our new work on foundation models and agentic systems for discovery and prediction! Our most recent results show excellent performance in full aircraft!!
youtu.be/R_lYqUD_uVI?si=rZuq…
Happy to hear your feedback, and thanks to the fantastic team!!
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Steven Brunton retweeted
Carried out by an incredible dream team: Abhijeet Vishwasrao, @fa_giral, Mahmoud Golestanian, Federica Tonti, Andrea Arroyo Ramo, Adrian Lozano Duran, @eigensteve, @Serhocal , @modelflows and Hector Gomez
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