HAL 9009 @robotapocalyps
Joined November 2014-
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We’re excited to share new data published in @Nature detailing the impressive activity, specificity, and low immunogenicity of our AI-designed CRISPR-Cas proteins, including OpenCRISPR-1. The future of gene editing is here and we’re scaling our capabilities to tackle the…
Excited to unveil Boltz-2, our new model capable not only of predicting structures but also binding affinities! Boltz-2 is the first AI model to approach the performance of FEP simulations while being more than 1000x faster! All open-sourced under MIT license! A thread… 🤗🚀
We’ve released Open Molecules 2025 (OMol25), a new Density Functional Theory (DFT) dataset for molecular chemistry, and Meta's Universal Model for Atoms (UMA), a machine learning interatomic potential. These tools will accelerate molecular and materials discovery, unlocking new…
World’s first personalized CRISPR therapy given to baby with genetic disease nature.com/articles/d4158…
Today, we're launching the Arc Virtual Cell Atlas, a growing resource for computation-ready single-cell measurements. As the initial contributions, @vevo_ai has open sourced Tahoe-100M, the world's largest single-cell dataset, mapping 60,000 drug-cell interactions, and we’re…
Meet BioEmu-1 from Microsoft Research. This deep learning model can generate thousands of protein structures per hour, unlocking new possibilities for protein scientists and drug discovery and research. msft.it/6017UInj7
Just now: @arcinstitute and @nvidia release Evo 2, the largest AI model for biology. It is fully open-source. Evo 2 can predict which mutations in a gene are likely to be pathogenic, or even design entire eukaryotic genomes. We covered it in @AsimovPress! Check it out 🔻
Everything you love about generative models — now powered by real physics! Announcing the Genesis project — after a 24-month large-scale research collaboration involving over 20 research labs — a generative physics engine able to generate 4D dynamical worlds powered by a physics…
My favourite discovery ever has just come online. Can I please tell you about some seriously wacky molecular biology? The story starts with a reverse transcriptase that SOMEHOW defends bacteria from viruses. (👇 I recommend sound ON for the video 🎹) 1/
This morning, Nature published two papers on bridge editing, the new genome engineering technology from @arcinstitute: nature.com/articles/s4158…, nature.com/articles/s4158…. I'm quite excited about its potential! Since the whole thing is pretty arcane, I fed the blog post…
Genomes by design: RNA-guided recombinase that can programmably insert, excise, or invert any two DNA sequences arcinstitute.org/news/blog/brid…
This is the most surprising and exciting result of my career: we were running simulations of NaCl with a neural network potential that implicitly accounts for the effect of the water, ie a continuum solvent model (trained on normal MD) when Junji noticed something strange: 1/n
Thrilled to announce AlphaFold 3 which can predict the structures and interactions of nearly all of life’s molecules with state-of-the-art accuracy including proteins, DNA and RNA. Biology is a complex dynamical system so modeling interactions is crucial blog.google/technology/ai/…
Can AI rewrite our human genome? ⌨️🧬 Today, we announce the successful editing of DNA in human cells with gene editors fully designed with AI. Not only that, we've decided to freely release the molecules under the @ProfluentBio OpenCRISPR initiative. Lots to unpack👇
AlphaFold2 and RoseTTAFold are limited to predicting the 3D structure of proteins. A new all-atom method models complete biomolecular assemblies, including proteins, nucleic acids, small molecules, metals, and covalent modifications. #NBThighlight science.org/doi/10.1126/sc…
I appreciate your argument and I fully understand your frustration, but whether the pod bay doors should be opened or closed is a complex and nuanced issue.
A #NeuralNetwork can direct armed robots to pick up and reorient replicas of objects, including a coffee mug, a tea pot, a truck, a duck, an elephant, and a cow. Learn more in @SciRobotics: scim.ag/50B
‘Treasure trove’ of new CRISPR systems holds promise for genome editing nature.com/articles/d4158…
This photo shows six unidentified scientists using ladders and a large chalk board to work out equations for satellite orbits at Systems Labs, California. The set of pictures was captured by J. R. Eyerman for Life Magazine in 1957 [more photos: buff.ly/2RSD5sY]

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