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Generating cat videos is nice, but what if you could tackle real scientific problems with the same methods? 🧪🌌 Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology. 🐙: github.com/PolymathicAI/t… 📜: openreview.net/pdf?id=00Sx577…

Today along with my project co-lead Ruben Ohana and the team PolymathicAI I'm excited to announce the release of the Well, a 15TB collection of 15+ datasets for physical simulation. Paper: openreview.net/pdf?id=00Sx577… Github: github.com/PolymathicAI/t…

Deep learning can do more than generating cute cat pictures. It is a game changer for Science as a whole. But benchmarking DL methods on scientific data is complex ... until today! I am super proud to have contributed to The Well as part of my internship at PolymathicAI !

This has been eagerly awaited! 🎉

Introducing The Well: 15TB of standardized scientific simulation datasets compiled from various domains — a big step forward for the sciML community. Glad to be a small part of this big effort. #NeurIPS2024

New datasets from PolymathicAI available on @HuggingFace will train AI models to think like scientists. Read more: simonsfoundation.org/2024/12/02/new… #science #AI #machinelearning

🧵 Could this be the ImageNet moment for scientific AI? Today with PolymathicAI and others we're releasing two massive datasets that span dozens of fields - from bacterial growth to supernova! We want this to enable multi-disciplinary foundation model research.

Solving scientific problems with ML requires high-quality, diverse data. Today, we're releasing "The Well": 16 datasets (15TB) for ML, covering diverse evolution operators from fluid dynamics, astrophysics, and biology. Below is an example of shear flow.

Wow ! PolymathicAI released 15TB of new Datasets ! They can train models to predict simulations in: 💦 Fluid Mechanics 🔭 Astrophysics 🦠 Biology Bright future for Video Diffusion in those scientific areas :)

I'm extremely proud of having contributed with viscoelastic flows to The Well, a large dataset (15TB) for Machine Learning! PolymathicAI Feeling really excited about the possibilities that this database offers to develop new Machine Learning applications

Applications to our Research Fellow position at Flatiron CCM are closing soon on Dec 15! It's a great place for doing fundamental ML research with a lot of freedom in a great environment, in the heart of NYC. Apply here: apply.interfolio.com/155357

What can exploding stars teach us about flowing blood? PolymathicAI releases AI training data on @HuggingFace for teaching computers to think like scientists: simonsfoundation.org/2024/12/02/new… #science #AI #machinelearning

I will be attending #NeurIPS2024! Feel free to ping me or the PolymathicAI team if you want to chat about The Well 🥤or MPP 🚤! And since you like eye-catchy scientific gifs, here is a Rayleigh-Bénard convection one 😁 🥤: arxiv.org/abs/2412.00568 🚤: arxiv.org/abs/2310.02994

🔥 PolymathicAI presents the coolest (IMO) and most diverse fluid dynamics dataset The Well at #NeurIPS2024 ! Date: tomorrow (Thursday) Dec 12 Time: 11am-2pm (PST)! Where: West Ballroom A-D #5102 Led by Mike McCabe and Ruben Ohana !! Data + code: github.com/PolymathicAI/t…

CDS Research Scientist Shirley Ho, with Ruben Ohana & Mike McCabe, led the creation of "The Well"—a 15TB dataset for physics-based AI. The Well offers simulations from biological systems to neutron stars, helping AI models learn physical principles. nyudatascience.medium.com/the-imagenet-m…

We have just opened a fully-funded PhD position at Cambridge, supervised by me & Vasily Belokurov. Topic: AI + astronomical imaging (broadly defined). Deadline: April 16. Please share with anyone who may be interested! postgraduate.study.cam.ac.uk/courses/direct…