Triatomic Capital
135 posts
@TriatomicCap
‘AppliedAI’ in Deep tech, Health tech, & New economy // Helping great entrepreneurs build 'century-defining' technologies & businesses.
Thank you to @Nasdaq for this shoutout at the Nasdaq Tower yesterday!
Earlier this week at GTC, we announced our partnership with Nvidia. We will work with Nvidia to build strong, American open-source models that are at the frontier of scientific reasoning. These models will be essential for the US to compete with China on science in the coming decades. Jensen is committing to spend tens of billions of dollars developing open-source models, and we are excited to be a partner with them in figuring out how to benchmark, train and use those agents to accelerate scientific research. We have already open-sourced some of the work we have done with them, and are looking forward to open-sourcing more. There are few things today that are more important. See our blog post below, and watch the video to learn more, narrated by the man himself.
We're growing rapidly at @RadicalNumerics and scaling our core teams. Join us in building the next generation of scientific world models. We're hiring across a few roles, each with significant ownership and cross-functional scope: - Member of Technical Staff, Post-Training - Member of Technical Staff, Infrastructure and Training Systems - Member of Technical Staff, Pretraining Science - Member of Technical Staff, AI Bio - Member of Technical Staff, Biosecurity Our technology brings together numerics, systems engineering, and architecture design to tackle large-scale pretraining on scientific data. Our blogs (see below) give a flavor of the work. We believe that advancing capabilities must go hand-in-hand with advancing safety and biosecurity. The same systems that design biology must also help defend against it. Ping me or others in the team if you'd like to learn more. job-boards.greenhouse.io/radicalnumerics
@ManifoldBio @viva_biotech @novonordisk @Cambridge_Uni @DukeU @LMU_Muenchen Massive campaign: ~1M designed candidates screened across 127 diverse/challenging targets with all-to-all binding readouts. We solve more than 2/3 of the targets given a very limited compute budget and often quite challenging hotspots and crops 11/n
🧵 We ran the largest head-to-head benchmark of protein binder design methods in the wet lab. Project page: research.nvidia.com/labs/genair/pr… 1 million designs. 127 targets. RFdiffusion, BindCraft, BoltzGen, and Proteina-Complexa — all tested side by side.👇
Just announced our joint study with @NVIDIAHealth running a million molecule benchmark of AI-designed proteins for Nvidia's new model Protein-Complexa. Here we brought our massively multiplexed all-against-all AI binder testing platform that has been core to progressing our own protein design model mBER. The key to advancing protein design models beyond what's possible from public data is experiment scale that can match the scale of generative AI. Together we were able to show some quite fantastic results with a 68% hit rate for Protein-Complexa. More designs generated and more designs tested is better (when you can do it efficiently).
@ManifoldBio and @NVIDIAHealth announce a joint study validating Proteina-Complexa, NVIDIA's latest BioNeMo model for protein binder design.
So cool to get the first shoutout at GTC keynote! Did not expect that
@dimensionalos DAY 7 IT IS - DimOS drone module only supported real MAVLink or replay. No simulation. I integrated Skydio X2, a MuJoCo drone module, with real quadrotor dynamics, PD attitude controller, and full blueprint compatibility. Now anyone can prompt drone agents without hardware.🚁
