Join @bitsinbio Paris, 22 Sept at the InstaDeep office! 🇫🇷 With State-space models for protein–protein interactions (InstaDeep), noise ceilings in cancer drug response prediction (@orakldotbio), and patient representations at scale (@ScientaLab).

🤝 Introducing STIX, InstaDeep's new JAX library for generative modelling, built on the stochastic interpolants framework. STIX unifies flow matching, diffusion (including uniform and masked variants), and Bayesian flow networks under a single, common design space. 🧵

🧬 STIX handles continuous and discrete data as a single unit, generating both jointly. Discrete variables can be embedded in continuous space and run through the continuous interpolant, or handled directly via discrete interpolants like masked and uniform diffusion.

🎙️ Calling our shots. In episode 3 of the Let's Talk Research podcast, Senior Research Engineer Christoph Brunken and Staff Research Scientist Jules Tilly explored our future ambitions for machine-learned interatomic potentials (MLIPs). 🧵⬇️

Since then, we've hit many of those milestones, with the inclusion of electrostatics in the library, advancements in reactivity, speed, and with more exciting news to be shared here soon.

"It’s an active rebellion against throwaway culture to try to preserve things" 📖 Mitch Johns, This Museum is (Not) Obsolete @Hack_Modular Hear from author Jessica Holland (@hollandjess) as she follows the growth of PCB design through the musical history of vintage synths. 🎹

“Creating (a PCB) is a mixture of legacy knowledge, absolute understanding of electronics, and an eye for detail.” Hear from veteran PCB engineer Steve Gascoigne of Siemens EDA (@siemenssoftware) as he explores the history and future of PCB design.

🎙️ Don't miss out on series 1 of Let's Talk Research, our insider guide to the latest InstaDeep research! Get a sneak peek of episode 4 below, covering Machine-Learned Density Functional Theory (MLDFT), with our guests Jules Tilly and Zach Weller-Davies. 🧵⬇️

Last Thursday, we had the pleasure of hosting the @Voxel51 Paris Meetup at our offices, bringing together the AI, ML and Computer Vision community for an evening of talks and networking! 🇫🇷

Among the speakers, InstaDeep MLOps Manager Rémi Debette shared how we’re Building AIchor: our ML Platform: From Training to Inference at Scale. AIchor gathers our best practices in infrastructure for ML, and is used day-in, day-out by our 300+ ML Engineers to run their training.