🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🎉Excited to announce major new breakthroughs in our Aurora foundation model! Our team (Cristian Bodnar, Wessel, anne lucic, Megan Stanley, Anna Vaughan) has achieved unprecedented results across multiple Earth system forecasting tasks. Here's what's new... 🧵

Our new review paper "Machine Learning for Climate Physics and Simulations" with Pedram Pedram Hassanzadeh, Aditi, Maike, Raffaele & Balaji is online Annual Reviews 🎉. Beyong accelerating simulations, can ML help us understand climate physics? We highlight the recent progresses &

After nearly two weeks of overwhelming uncertainty, today it happened. I was fired from my dream of working at NOAA. I'm so sorry to everyone also affected. My job was to strengthen NOAA's use of machine learning and AI for subseasonal-to-decadal weather and climate prediction

Excited to share our new paper in PNASNews doi.org/10.1073/pnas.2…! Ice cubes often appear cloudy because, as water freezes, air bubbles get trapped and scatter light. But how does freezing rate affect the shape of the bubbles? UMD Research The Robert Mehrabian College of Engineering @PMMH_lab Physics of Fluids @ UTwente

Looking forward to learning about recent advances in #AI4Climate at the American Physical Society #GlobalPhysicsSummit. Come check out the back-to-back focus sessions, "AI Applications in Weather and Climate I & II," on Tuesday from 9:00 AM to 1:30 PM! summit.aps.org/schedule/?c=ey…

news.stanford.edu/stories/2025/0… NASA Earth data + AI enable us to infer the constitutive models critical for ice dynamics. AI is useful, but no data = no discovery. Below is an example of the training data: a velocity map showing the dynamics of the Antarctic Ice Sheet. Source: #NASA

In Science, researchers report a #physics-informed #DeepLearning model that can predict the deformation behavior of Antarctic ice shelves, revealing complexities of the process that extend beyond the traditional understanding. 📄: scim.ag/3XWfs3W #SciencePerspective:

From #PhysicsInformedML to #MLInformedPhysics: We're excited about the "knowledge discovery" component of AI utilizing vast amount of data. There is much more out there to be discovered, as Nature's imagination is far greater than that of humans. Don't stop searching.💡

We're pleased to release DIFFICE-jax v1.0, the foundation of our Science paper and the first #DIFFerentiable #NeuralNetwork solver for #DataAssimilation of ICE shelves written in #JAX: 🔗Docs: diffice-jax.readthedocs.io/en/latest/inde… 📄Peer-reviewed by JOSS #OpenSource: joss.theoj.org/papers/10.2110…