🔥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

We're currently looking for a PostDoc position at Université de Montréal and Mila - Institut québécois d'IA to work on a multi-modal bacteria representation for anti-biotic discovery, including multiple modalities: - Phenomics - Transcriptiomics - Structural bio - Viability curves - ADME The work will be

🚨 Call for a POSTDOC in machine learning for drug discovery at Université de Montréal 💊 The position will be part of a large collaboration with Brun Lab Audrey Durand Dominique Beaini Anne Marinier IRIC Mila - Institut québécois d'IA. All details here: brunlab.com/jobs/open-posi… Please RT 💜

These tarrifs are meant to prepare for war! Donald J. Trump wants to expand the USA borders, but he cannot do so while steel, textile, oil, cars, etc. come from abroad. This is a well thought plan to bring resources + manufacturing to America so they can start to invade others

MoML conference is back on June 18th!

Join our social event!

(1/3) Speaker Spotlight: Dr. Smita Krishnaswamy We’re thrilled to welcome Dr. Krishnaswamy to MoML 2025 on June 18th - hosted Mila - Institut québécois d'IA Dr. Krishnaswamy is an Associate Professor of Genetics & Computer Science at Yale School of Medicine

Thrilled to release Boltz-1x! The physical quality of poses was a recurring piece of feedback we received. With Boltz-1x, we use inference-time steering to remove clashes, respect chirality and other physical properties. A few other goodies too. Work led by the amazing Noah Getz

Are you working on a NeurIPS Conference paper related to molecules? There's still chance to submit a short 1-page abstract for the MoML 2025 conference on June 18th in #Montreal portal.ml4dd.com/moml-2025-post…

It was a pleasure to do the closing talk for the Graph Signal Processing Workshop 2025 !

Everyone’s chasing AGI - but what’s the #DrugDiscovery equivalent? Meet the Virtual Cell: our bold roadmap to curing any disease by simulating the building block of human biology Check out Valence Labs vision of curing diseases with GPU-based scientific discovery

1/ Introducing TxPert: a new model that predicts transcriptional responses across diverse biological contexts It’s designed to generalize across unseen single-gene perturbations, novel combinations of gene perturbations, and even new cell types 🧵

🤯 We can now directly interact with biology via this new foundational knowledge graph. A must read 🧵

What’s needed for a virtual cell to succeed in drug discovery? A new perspective paper from Recursion and our AI research engine Valence Labs lays out our vision for a virtual cell as a system that can reliably drive the discovery of new drugs via an iterative loop of: predict,

one click - select a gene two clicks - select a cell three clicks - here's all the biological interactions you should see We're living in the future 🚀🦠

Data is what matters most!

(1/n)🚨You can train a model solving DFT for any geometry almost without training data!🚨 Introducing Self-Refining Training for Amortized Density Functional Theory — a variational framework for learning a DFT solver that predicts the ground-state solutions for different

The supervision signal in AI4Science is so crisp that we can solve very complicated problems almost without any data or RL! In this project, we train a model to solve the Schrödinger equation for different molecular conformations using Density Functional Theory (DFT) In the

Very excited by this work! Simultaneously learn the DFT and sample the Boltzmann distribution by using two GPUs concurrently. Amazing stuff!!