🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

SuperDiff goes super big! - Spotlight at #ICLR2025!🥳 - Stable Diffusion XL pipeline on HuggingFace huggingface.co/superdiff/supe… made by Viktor Ohanesian - New results for molecules in camera-ready arxiv.org/abs/2412.17762 Let's celebrate with a prompt guessing game in the thread👇

1/ It has been a privilege to have the opportunity fo contributing to Exai-1. Shout out to my co-first author, Aiden M Sababi, and my amazing colleagues exai bio, particularly Hormozdiari Lab, Babak Alipanahi, and Hani Goodarzi who led the effort.

So excited to be speaking at #ted2025 this year! I’ll be talking about the intersection of AI and biology 🧬

I will be at #ICLR2025 this week, presenting 2 main track papers and 2 workshop papers 📜. Reach out if you want to meet up and chat! Main: (1) Meta Flow Matching 🧬. Thu Apr 24 10am. Hall 3 + Hall 2B #13. (2) SuperDiff 🧪. Fri Apr 25 3 pm. Hall 3 + Hall 2B #141. Workshop 🧵:

in Singapore for the first time for #ICLR2025 and having a blast! 🇸🇬🍍 if you're interested in #AIforScience, language models, or diffusion, come see our exciting line up below, or DM me to chat more! 🤗

👀👀 Couldn't agree more! preprint coming soon ™

Free in-person registration is open for #MLCB2025! Sept 10-11 at NY Genome Center and online at youtube.com/@mlcbconf. Paper/abstract deadline is June 1, more deets including our fantastic invited speaker lineup at mlcb.org! Please RP.

U of T will be hiring next year. Senior people should reach out in advance.

🧵(1/6) Delighted to share our ICML Conference 2025 spotlight paper: the Feynman-Kac Correctors (FKCs) in Diffusion Picture this: it’s inference time and we want to generate new samples from our diffusion model. But we don’t want to just copy the training data – we may want to sample

To replace animal testing with AI, we need MASSIVE human datasets. Today, we're thrilled to share Axiom's new data exploration tool, providing the ability to visually explore the world's largest primary human liver toxicity dataset. Built with Axiom's proprietary wetlab

Excited to launch our AlphaGenome API goo.gle/3ZPUeFX along with the preprint goo.gle/45AkUyc describing and evaluating our latest DNA sequence model powering the API. Looking forward to seeing how scientists use it! Google DeepMind

Social media has truly warped science consumption. On one hand it has massively democratized it. On the other hand, it's become extremely easy to use hype to simply amplify things that are simply not true. 1/

We're excited to release 𝐦𝐑𝐍𝐀𝐁𝐞𝐧𝐜𝐡, a new benchmark suite for mRNA biology containing 10 diverse datasets with 59 prediction tasks, evaluating 18 foundation model families. Paper: biorxiv.org/content/10.110… GitHub: github.com/morrislab/mRNA… Blog: blank.bio/post/mrnabench