The "Woman, Life, Freedom" uprising in Iran was just three years ago. U.S. liberals were vocal in their support... a mural went up in Clarion Alley; protests were announced across SF. Today, their silence is deafening. I promise you that our community will remember this.
[1/7] Introducing Evo 2, a new foundation model for biology.
🚀 Evo 2 is the largest-scale, fully open-source AI model ever released: 40 billion parameters, over 9 trillion tokens, and a 1 million context length. All the details are public: weights, data, training infrastructure, and inference infrastructure.
⚡Evo 2 is built on a new model architecture: convolutional multi-hybrids (StripedHyena 2). StripedHyena 2 excels at modeling byte-tokenized data, providing faster training and lower perplexity compared to both Transformers and previous-generation hybrids based on state-space models.
I am grateful for the team behind Evo 2—working with you was one of the proudest moments of my career (the core pretraining team was fewer than five people; you can just do things).
📚 Today, we release two papers (yes, plural), as well as weights, data, training, and inference codebases. Enjoy!
Introducing Evo 2 from Arc Institute - an AI that can model and design the genetic code for all domains of life. It’s one of the largest-scale truly open source AI models for biology (and in fact more generally - most “open source” large language models are only “open weights”)
AI provides a universal framework that leverages data and compute at scale to uncover higher-order patterns
Today, @arcinstitute in collaboration with @nvidia releases Evo 2—a fully open source biological foundation model trained on genomes spanning the entire tree of life 🧵
We are excited to introduce LoRNA-SH, a frontier RNA foundation model that leverages long-read transcriptomics and long-context inputs to learn and predict the transcriptome architecture with base-pair resolution: https://t.co/8hfWJ54lHS
Check out our latest research by @MNaghipourfar and others in our team on building language models of coding sequence. In this preprint, we introduce cdsFM, a suite of codon-resolution language models!👇
https://t.co/l1pFKi8PWx
1/9 CPAis finally published. It can predict single-cell responses to combinatorial perturbation (drugs, CRISPR). This is a joint collab between @meta and @fabian_theis@HelmholtzMunich. Read the thread to understand the LEGO analogy! https://t.co/Ia87dfgdBF
So excited to see our compositional perturbation autoencoder (CPA) paper out @MolSystBiol! This generative DL model leverages single cell perturbation (drug, CRISPR etc) studies to predict cellular response. Great collab w @MetaAI! https://t.co/sDDwCgJTVg
https://t.co/HUBvO5pCDF
Super excited to share the results of our highly collaborative project co-led by @MNaghipourfar, Ali Saberi, @DelaramPB, Amirhossein Zarezadeh and supervised by my incredible mentor @genophoria.
I said the 2020s will bring about a revolution in electronic medicine.
@Novocure Tumor Treating Fields uses alternating electric fields specifically tuned to target cancer cells.
Spectacular technology that will only improve with new AI.
This is an "Apple moment" in medicine.
عرفان زارعی دانشجویی که در مقابل آذری جهرمی سخنگوی دولت ایستاده بود و شجاعانه حرف میزد، روز ۱۶ آذر در مقابل دانشگاه توسط نیروهای امنیتی جمهوری اسلامی ربوده شد.
لینک زیر رو کمک کنید کامل بشه، دانشگاههایی که مدرک رسمی رو ازتون نمیخوان. با توجه به افزایش ناگهانی هزینه آزادسازی مدرک، کمک بزرگی میتونه باشه:
https://t.co/YvfqFb1fok
More exciting news on this: our work has made the cover of @NatureBiotech. AI helps democratize to analyze single-cell data! It basically works like a google map navigator to navigate you through the map of cells to analyze your data!
We’re thrilled to finally share the integrated Human Lung Cell Atlas (HLCA), a single-cell reference atlas of 444 individuals, and 2.2M cells! https://t.co/iFTqRDucCc @humancellatlas Here’s a tweetorial on how we built it, and, most importantly, how you can use it: (1/20)