Autonomous robots doing chemputation is happening 24/7 in the Croninlab & at Chemify collecting data for next generation AI & ML.

Introducing Tnkr. The GitHub for Robots. Simple scales. And robotics hasn't been simple, until now. Our mission is to make building and collaborating on robots as simple and intuitive as humanly possible. When that happens, the developer pool explodes, the pace of innovation

Introducing Latent-X2 — AI-generated antibodies with drug-like developability and low immunogenicity in human panels, zero-shot. Technical report: tinyurl.com/latent-X2-repo… Blog: latentlabs.com/latent-x2 Apply for access: [email protected]

The Protein Design Competition expert selection is live! We received so many impressive submissions that we doubled the number of handpicked sequences to 400. ➡️ Check out all the protein designs that will go into the lab for testing: proteinbase.com/competitions/a… Huge thanks to our

OpenBio is your AI research assistant for modern biology. Faster insights, cleaner workflows, better science.

Excited to announce the release of our open-source protein family language model, ProFam-1, designed to generate functional protein variants and predict fitness using in-context example sequences. 1/n

ByteDance dropped SeedFold (with Linear Triangular Attention) and SeedProteo seedfold.github.io

Here is a long (if 7 min is long) and comprehensive coverage of the state of the AI-drug discovery and development by the The Economist . Check it out ahead of the JP Morgan conference. There is no doubt that AI is delivering and there are solid benchmarks to track this progress.

Predicting cell state in previously unseen conditions such as disease or in response to a drug has typically required retraining for each new biological context. Today, Arc is releasing Stack, a foundation model that learns to simulate cell state under novel conditions directly

🌍 Revolutionizing Drug Discovery with AI + NVIDIA BioNeMo 🆕 The expansion announced at #JPM26 includes: - New open models like RNAPro (RNA structure prediction) & ReaSyn v2 (AI-driven synthesis design) - Powerful tools like BioNeMo Recipes & nvMolKit to scale model training

Can Claude Code design proteins? We're just about to release our wet lab API + SDK so we made a quick demo to test how agents can interact with protein design models and submit the proteins to our lab for testing. This closes the loop between the computational design and the

A physics-informed GNN that learns Newton's laws from data—and extrapolates to systems 35× larger Most neural networks for physics simulation are data-hungry and brittle. Train them on one configuration, and they fall apart when you change the boundary conditions, scale up the

We're launching a Protein Design Skills marketplace for Claude Code! We received a lot of questions about the protein design agent, so we're releasing the skills we used in the demo. The first batch includes skills for design generation, experimental testing, pipeline

We worked with Ginkgo Bioworks to connect GPT-5 to an autonomous lab, so it could propose experiments, run them at scale, learn from the results, and decide what to try next. That closed loop brought protein production cost down by 40%.