Björn Lütjens 🌍 (@bjornlutjens) 's Twitter Profile
Björn Lütjens 🌍

@bjornlutjens

Postdoc@MIT (he/him). Switched from autonomous vehicles to climate. Write about AI and climate change. I 💚 the oceans, forests, and 🐢

ID: 1268538971241545728

linkhttps://blutjens.github.io/ calendar_today04-06-2020 13:44:01

287 Tweet

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466 Following

Björn Lütjens 🌍 (@bjornlutjens) 's Twitter Profile Photo

People in Geometric Deep Learning research architectures that respect hard invariances or symmetries in data. Lots of untapped potential here for weather and climate predictions. Here is a tutorial by Chaitanya K. Joshi @ICLR2025 🇸🇬 github.com/chaitjo/geomet…

Björn Lütjens 🌍 (@bjornlutjens) 's Twitter Profile Photo

Here is David and Camille measuring mangroves. Ultimately, we want to enable small-scale landowners to participate in the global carbon market. First step is to create ForestBench, an open-source benchmark dataset for forest monitoring. Camille Rivera

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We are hiring a postdoc in ML and Cryospheric Sciences at Columbia University University. They would work on a joint project with Massachusetts Institute of Technology (MIT) on superresolution of surface meltwater, among others. Posting: academic.careers.columbia.edu/#!/105436 #MachineLearning #EarthScience NYC Cryosphere Lab Pierre Gentine #Job

We are hiring a postdoc in ML and Cryospheric Sciences at <a href="/Columbia/">Columbia University</a> University. They would work on a joint project with <a href="/MIT/">Massachusetts Institute of Technology (MIT)</a> on superresolution of surface meltwater, among others.

Posting:
academic.careers.columbia.edu/#!/105436

#MachineLearning #EarthScience <a href="/Cryocity/">NYC Cryosphere Lab</a> <a href="/PierreGentine/">Pierre Gentine</a> #Job
Camille Rivera (@frcamillerivera) 's Twitter Profile Photo

Happy to share what we've worked for months! 💚🎉 With the help of Thinking Machines and Gainforest.Earth, and together with the local communities we collected data of 3000 trees, each with its own GPS, photos and species ID!

Happy to share what we've worked for months! 💚🎉 With the help of <a href="/thinkdatasci/">Thinking Machines</a> and <a href="/GainForestNow/">Gainforest.Earth</a>, and together with the local communities we  collected data of 3000 trees, each with its own GPS, photos and species ID!
Björn Lütjens 🌍 (@bjornlutjens) 's Twitter Profile Photo

Generative AI is all the hype to create cool art. But, can we also use GenAI to tackle real-world problems?? Here's a TEDx talk in which I illustrate how "Machine Learning Emulators" can empower local advocates in climate change 🚨 youtu.be/DTX8SvdtrmU TEDxBoston #TEDxBoston TEDx

Björn Lütjens 🌍 (@bjornlutjens) 's Twitter Profile Photo

"we have to accept here the Earth is a donut" - favorite quote from EGU today Seriously though, Caroline Arnold shared a cool learning that Embedded Python seems best for integration into Fortran climate models in comparison to YAC or pipes Caroline Arnold Helmholtz AI @dvdgbg #EGU23

"we have to accept here the Earth is a donut" - favorite quote from EGU today

Seriously though, Caroline Arnold shared a cool learning that Embedded Python seems best for integration into Fortran climate models in comparison to YAC or pipes

<a href="/crlna20/">Caroline Arnold</a> <a href="/helmholtz_ai/">Helmholtz AI</a> @dvdgbg #EGU23
Björn Lütjens 🌍 (@bjornlutjens) 's Twitter Profile Photo

Last call for abstracts to our AGU24 Session on *Advances on Emulating Earth System Models*; due 31st of July, 23.59 EDT agu.confex.com/agu/agu24/prel… #AGU AGU (American Geophysical Union) #ML #MachineLearning Climate Change AI

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Today, MIT News featured our work on AI-generated imagery of future floods. We discuss the dangers of hallucinations in this risk-sensitive application and propose a new physics-informed model that circumvent them. news.mit.edu/2024/new-ai-to… Robin Cole MIT EAPS

Björn Lütjens 🌍 (@bjornlutjens) 's Twitter Profile Photo

We just released the first lecture from this year's workshop on Computer Vision for Ecology at Caltech with MIT Prof Sara Beery giving an Intro to Computer Vision - Deep Learning, CNNs, and Transformers. youtu.be/5rE2ogBh0zc?si…