Valence Labs

Introduction Understanding how cells respond to genetic perturbations is essential to designing effective therapies and accelerating drug development. Yet the traditional approach, screening large numbers of perturbations experimentally across extensive b

Introduction The quest to decode biology is one of humanity's most enduring and critical challenges. Traditional drug discovery, a painstaking process often spanning over a decade and costing billions, still faces a high rate of failure in clinical trials

Introduction We curated and consolidated 40+ quantum mechanics (QM) datasets, covering 1.5 billion geometries across 70 atom species and 250+ QM methods, into a single, accessible hub called OpenQDC. It's open-source and the datasets are available for acc

On the Scalability of GNNs for Molecular Graphs Scaling deep learning models has been at the heart of recent revolutions in language modeling and image generation. Practitioners have observed a strong relationship between model size, dataset size, and per

LOWE LOWE-our LLM-orchestrated Workflow Engine-is an LLM agent that represents the next evolution of the Recursion OS. LOWE supports drug discovery programs by orchestrating complex workflows. These workflows chain together a variety of steps and tools, f

Valence Labs is Recursion's new machine learning research center that aims to promote open science and academic research. $1 million will be committed to advancing the next generation of academic machine learning research through scholarships and fellowsh

--Recursion, a leading clinical stage TechBio company decoding biology to industrialize drug discovery, today launched Valence Labs at the International Conference on Machine Learning. "We believe there is a generational opportunity- enabled by the unprec