π’ Paper + code release ππ»
After 2 years of work, I'm excited to announce our newest paper, MatterGen, has been published in Nature!
www.nature.com/articles/s41...
We are also releasing all the training data, model weights, model code, and evaluation code on GitHub!
github.com/microsoft/ma...
16.01.2025 10:15 β π 79 π 21 π¬ 3 π 1
Super excited to share that MatterGen is published in Nature!
16.01.2025 13:55 β π 7 π 2 π¬ 0 π 0
Super excited to share that the MatterGen code is now public on GitHub! github.com/microsoft/ma...
16.01.2025 10:26 β π 17 π 10 π¬ 0 π 0
Super excited to preprint our work on developing a Biomolecular Emulator (BioEmu): Scalable emulation of protein equilibrium ensembles with generative deep learning from @msftresearch.bsky.social ch AI for Science.
www.biorxiv.org/content/10.1...
06.12.2024 08:38 β π 440 π 147 π¬ 21 π 29
GitHub - microsoft/mattersim: MatterSim: A deep learning atomistic model across elements, temperatures and pressures.
MatterSim: A deep learning atomistic model across elements, temperatures and pressures. - microsoft/mattersim
π¨Our Machine Learning Force Field Mattersim is now available! π¨
Check it out here π
msft.it/6013oBZLt
The force field is designed to be used on a vast range of temperatures and pressures, try it yourself :)
Feedback and suggestions are very welcome!
03.12.2024 17:11 β π 81 π 25 π¬ 5 π 2
πExcited to announce major new breakthroughs in our Aurora foundation model! Our team (@cbodnar.com, @wessel.ai, @megstanley.bsky.social, @a-lucic.bsky.social, Anna Vaughan) has achieved unprecedented results across multiple Earth system forecasting tasks. Here's what's new... π§΅
27.11.2024 15:12 β π 31 π 11 π¬ 1 π 2
ML Scientist @CuspAI | Innovating for a greener future π±
Machine Learning at CuspAI - materials discovery for carbon capture
My opinions only here.
π¨βπ¬ RS DeepMind
Past:
π¨βπ¬ R Midjourney 1y π§βπ DPhil AIMS Uni of Oxford 4.5y
π§ββοΈ RE DeepMind 1y πΊ SWE Google 3y π TUM
π€ @nwspk
Postdoctoral researcher @vuamsterdam.bsky.social
AI for climate | Graph Neural Networks | Geometric Deep Learning | Neural Fields | Spatiotemporal Forecasting
mkofinas.github.io
Senior researcher @msftresearch.bsky.social - views my own | ββ¬ | De sevillanas manners π
Applying machine learning to challenges in materials science.
Senior Researcher at Microsoft research AI for Science.
Views are my own
Professor of Inorganic and Materials Chemistry at UCL. Director of UK National XPS Service.
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Machine learning prof at U Toronto. Working on evals and AGI governance.
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
Associate Professor in Machine Learning at the University of Oxford.
Interested in automatic inductive bias selection using Bayesian tools.
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)