🔥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

Heroic effort by our summer intern Anay Gupta, Laura Gunsalus and @lal_avantika. Also the first preprint of our group, very proud!

We are excited to announce PathChat - a vision-language AI assistant for #Pathology that can analyze histology images and answer diverse pathology-related queries. Co-led by our superstars Max Lu Bowen Chen @DFKW_MD Preprint: arxiv.org/abs/2312.07814 Demo below,

Our preprint on the development of PerturbView, an Optical Pooled Screening (OPS) technology, is out! Massive thanks to Eric Lubeck for driving the project with me, along with our fantastic mentors, Orit Rozenblatt-Rosen, Levi A. Garraway and Aviv Regev biorxiv.org/content/10.110… 1/

🎉🪩🎄 Check out our new PerturbView method for easy optical perturbation screens in primary cells and tissues. Takamasa Kudo has written a great summary in the quoted thread. Check it out! biorxiv.org/content/10.110…

CARE talks kick off again this week, with Goutham Rajendran talking about learning disentangled representations (portal.valencelabs.com/events/post/le…). It's a really nice paper showing with linear + Gaussian latents we don't need many interventions to disentangle latents. Thursday, 11am EST

MM-LLMs: Recent Advances in MultiModal Large Language Models paper page: huggingface.co/papers/2401.13… In the past year, MultiModal Large Language Models (MM-LLMs) have undergone substantial advancements, augmenting off-the-shelf LLMs to support MM inputs or outputs via

"scPerturb: harmonized single-cell perturbation data" is out now in Nature Methods!

Excited by the generality of CLIP, but need more fine-grained details in your representation? Introducing SPARC, a simple and scalable method for pretraining multimodal representations with fine-grained information. 🥳 1/6

Apple presents Specialized Language Models with Cheap Inference from Limited Domain Data paper page: huggingface.co/papers/2402.01… Large language models have emerged as a versatile tool but are challenging to apply to tasks lacking large inference budgets and large in-domain training

As LLMs have improved in their capabilities, so have their dual-use capabilities. But many researchers think they serve as a glorified Google We show that LLM agents can autonomously hack websites, showing they can produce concrete harm Paper: arxiv.org/abs/2402.06664 1/5

Retrieval augmented generation (RAG) was proposed in 2020, but the idea has since been explored and expanded by a variety of papers. Here are four notable publications that study advanced concepts with RAG… (0) Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks:

AI & Biology/medicine is at its best time 🔥🔥exciting time ahead!

There were an insane number of "big" biotechnology papers published this week. The Bridge RNA gene-editing papers are important. But here are 7 more advances. Many new CRISPR tools, epigenetic editing for prion disease, gene drives for plants & more...🧵

Apple presents MUSCLE A Model Update Strategy for Compatible LLM Evolution Large Language Models (LLMs) are frequently updated due to data or architecture changes to improve their performance. When updating models, developers often focus on increasing overall performance

Pay attention to the description of the brain regions. Also, a great summary of LLM issues to date.

It's one thing to have a cell atlas of the human body. It's another to build foundation #AI models, test perturbations, and establish causal effects. An insightful review/perspective Cell cell.com/cell/fulltext/… Jenny Rood, Ph.D. Anna Hupalowska Aviv Regev Genentech

How can we build an Al Virtual Cell 🔮🧬 that simulates all functions and interactions of a cell? How will it transform research and drive breakthroughs in programmable biology, drug discovery and personalized medicine? 🚀 Take a look at our Perspective! arxiv.org/pdf/2409.11654

🚀Interested in doing a PostDoc in my lab? Consider applying for a🇨🇭SNSF Swiss Postdoctoral Fellowship 2024. If you have any questions, join the information event tomorrow via Zoom (register via shorturl.at/zP93m) or reach out to us via bunnelab.com! 🧬Who

Very happy to share our article about AI agents in cancer research and oncology, with Yongju Lee Dyke Ferber & Aviv Regev, out in Nature Cancer now -> nature.com/articles/s4301… katherlab Nationales Centrum für Tumorerkrankungen Dresden NCT Heidelberg

📃Don't miss the Comment now ONLINE Nature Cancer on 'How AI agents will change cancer research and oncology' by Aviv Regev, Jakob Nikolas Kather Jakob Nikolas Kather and co-authors 🔗doi.org/10.1038/s43018… featuring into our year-in-review Focus Issue!