🚀 After two years of intense research, we’re thrilled to introduce Skala — a scalable DL density functional that hits chemical accuracy on atomization energies and matches hybrid-level performance on main group chemistry — all at the cost of a semi-local functional. ⚛️🔥🧪⚗️🧬

Come do a PhD with me 😀! Promise of fun science and great coffee ☕

Last call. We will close the application to the following 2 jobs on 2025/11/03. Senior Researcher in Deep Learning: https://t.co/r7Q2vx1Son Senior Research Engineer on Data:

Now hearing from @MSFTResearch’s @chinwei_h, who is presenting Skala, a deep learning model for universal exchange correlation. #MoML2025

MLFFs 🤝 Polymers — SimPoly works! Our team at @MSFTResearch AI for Science is proud to present SimPoly (SIM-puh-lee) — a deep learning solution for polymer simulation. Polymeric materials are foundational to modern life—found in everything from the clothes we wear and the food

Mila's annual supervision request process is now open to receive MSc and PhD applications for Fall 2026 admission! For more information, visit https://t.co/r01eLcY1P4

GitHub: https://t.co/eJ59yNL9nz Foundry (Skala on GPU):

We’re open sourcing Skala, our deep learned exchange-correlation functional. Try it out and let us know how we can improve! #compchem

Skala is now available to everyone! Why are we releasing it? Because we’re not just aiming to publish a cool paper — we’re on a mission to bring DFT to chemical accuracy using deep learning. And to make real progress, we need the community’s feedback. #compchem

Our deep learned exchange-correlation functional Skala is finally available to try out 🎉 Tell us what works and where skala can be improved!

ELLIS ML4Molecules workshop 2025 ** Call for papers** is out: https://t.co/xjHTyBGAZ5

We're looking for 2 interns for Summer 2026 at the MIT-IBM Watson AI Lab Foundation Models Team. Work on RL environments, enterprise benchmarks, model architecture, efficient training and finetuning, and more! Apply here:

Call for Papers –Machine Learning for Simulations in Biology & Chemistry (Simbiochem) Workshop @ EurIPS 2025 📍 Copenhagen, Denmark (Dec 6th or 7th) 📅 Submission Deadline: 10th October, 2025 👉 Submit your paper: https://t.co/9ag80dBjHm Machine learning has transformed

Want to join our BioEmu team in @MSFTResearch AI for Science as an Intern? Berlin DE or Cambridge UK are available. Preference for candidates at the end of their PhDs, but open for everything: https://t.co/4TBt0mvSOx

📣Call for Blog Posts at #ICLR2026 @iclr_conf Following the success of the past iterations, we are opening the Call for Blog Posts 2026! https://t.co/6X1pKeS79i Please retweet!

Go work with Joey!

Exciting news! We're thrilled to announce the appointment of Professor @hugo_larochelle as Mila's new Scientific Director! A deep learning pioneer and former head of Google's AI lab in Montreal, Hugo's leadership will be pivotal in advancing AI for the benefit of all. Read the

Exciting work by our team, representing a real step forward in understanding the protein dynamics that power biological function.

Want to join our efforts @MSFTResearch AI for Science to push the frontier of AI for materials? We are the team behind MatterGen & MatterSim and we have 2 job openings! Each can be in Amsterdam, NL, Berlin, DE, or Cambridge, UK. It is a rare opportunity to join a highly talented,

Aurora is fully open! 🥳 The air pollution model 🌬️, the ocean wave model 🌊, and the TC tracker 🌀 are now available. And that's not all: all model weights (pretrained and fine-tuned) are now released under the MIT license. 😎 GitHub: https://t.co/3AAv4Pjds8 #AIforGood

🧵 Everyone is chasing new diffusion models—but what about the representations they model from? We introduce Discrete Latent Codes (DLCs): - Discrete representation for diffusion models - Uncond. gen. SOTA FID (1.59 on ImageNet) - Compositional generation - Integrates with LLM 🧱