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Announcing Biomni — the first general-purpose biomedical AI agent. Biomni is a free web platform where biomedical scientists can immediately delegate their tasks to Biomni, starting today! Biomni automates literature reviews, hypothesis generation, protocol design,

A grant of nearly $10 million was announced May 28 to fund a Princeton-led effort using AI to develop advanced semiconductors for wireless communication and remote sensing. The effort will be directed by Princeton Engineering prof Kaushik Sengupta Read more: bit.ly/3FoaXt9

🤔 How do you train an AI model to think and reason like a biology expert? We found the answer: let it learn from real expert discussions! Checkout our recent work on a breakthrough approach to improve LLM scientific reasoning - by learning directly from 10+ years of genomics

💔 Shocked, saddened by the strike that damaged labs at the Weizmann Institute . Having attended Single-Cell-Genomics meeting organized by Ido Amit and my mentor Aviv Regev, I experienced an amazing campus filled with pursuit of knowledge, science, and freedom. Biton Lab

Thrilled to host Dr. John Jumper of Google DeepMind at Stanford today for a special seminar on #AlphaFold and the future of AI-powered biology—co-organised with my brilliant colleague Anshul Kundaje (anshulkundaje@bluesky). Amazing to watch #AI and #Genomics converge! #Stanford #DeepMind

🚀 Introducing 𝗥𝗡𝗔𝗚𝗲𝗻𝗲𝘀𝗶𝘀 — a 𝗚𝗲𝗻𝗲𝗿𝗮𝗹𝗶𝘀𝘁 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹 for 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗥𝗡𝗔 𝘁𝗵𝗲𝗿𝗮𝗽𝗲𝘂𝘁𝗶𝗰𝘀, unifying sequence understanding, de novo design, and 3D structure prediction. From 𝗔𝗽𝘁𝗮𝗺𝗲𝗿𝘀 to 𝗚𝗲𝗻𝗲 𝗘𝗱𝗶𝘁𝗶𝗻𝗴,

🚨 Introducing FoldMark — a generalist watermark framework to fortify protein generative AI against biosecurity threats 🧬 Why It Matters: • AI‑designed proteins could enable novel pathogens (e.g., SARS‑CoV‑2 variants), posing dual‑use risks arxiv.org/abs/2505.23839 •

Our collaborative work, #RNAGenesis, led by Zaixi Zhang and team, delivers a Generalist RNA Foundation Model (full weights released!), end-to-end pipeline that understand, design, validate functional RNAs—from nM affinity aptamers to CRISPR scaffolds that lift editing efficiency

Perhaps we need more Soham-for-Bio, more AI, more data/benchmark, more multi-tasking, more trials/errors, instead of thinking we’ve hit “the wall”. I do not even see the “wall”. #SohamParekh #ai #drugdesign #bio #science #more

📢 New frontier in AI4Science: What if AI could design novel pathogenic/toxic proteins & molecules? This raises urgent biosecurity questions. We're tackling this head-on at our #NeurIPS2025 Workshop on AI Biosecurity: biosafe-gen-ai.github.io AI foundation models trained on

🚨 Can AI design harmful viruses or toxic molecules? 🚨 🔥 At #NeurIPS2025, we’re launching a new workshop: 🔬 Biosecurity Safeguards for Generative AI Link : biosafe-gen-ai.github.io 🙏 Grateful to our amazing co-organizers and expert advisors! #BioSafeGenAI #AI4Science

Amazing Organizing Team: Mengdi Wang CL • Le Cong, Alvaro Amrit Singh Bedi Zaixi Zhang Ruofan Souradip Chakraborty @ICML 2025 Jigang Zhenghong Avinash Reddy

Just returned from ICML 2025 where I had the honor of keynoting three remarkable workshops. Grateful for the opportunity to delve into topics like self-evolving Alita agents, CRISPR-GPT for AI-driven science, Genome-Bench, reinforcement-learning agents, and AI biosafety. Special

💔 2nd&3rd deaths linked to Sarepta gene therapy—trial pause, stock drop. Must accelerate safer gene & cell cures. AI design & AI agents + real world validation can help contribute! 🚀 AI momentum: SynBioBeta’s “Towards an AI-Driven CRISPR Future” (synbiobeta.com/read/towards-a…) charts