🔥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

🚀Check our latest work on protein conformation generation!

🤔 Can we teach LLMs to understand protein sequences? 🧬 Introducing ProtLLM, a versatile cross-modal LLM that bridges the gap between natural language and protein. Paper: arxiv.org/abs/2403.07920 Page: protllm.github.io/project/ 1/🧵

ICML will be 🔥🔥🔥: Our workshop for ML for Life and Material Science: From Theory to Industry Applications is happening! Stay tuned for further announcements!

#ICLR2024 In Vienna this week! I will be presenting our poster at ICLR2024 this Friday afternoon (Friday 16:30, Hall B #5). Welcome to come and see and talk!😆🙌

I’ll present our work tomorrow afternoon at East Exhibition Hall #1211. Come and have a chat if you’re interested in protein design and representation learning! #NeurIPS2024

Arash Vahdat and I will chat about opportunities in NVIDIA's fundamental generative AI research team. 🔥 Protein and molecule generation. Latent variable models. Accelerated diffusion. Discrete models. Gen AI for weather... and more! 🔥 Join us on this exciting adventure! 👇

🚀scCello (NeurIPS2024 Spotlight) is now open-source! We’re excited to release the code and data for scCello, a cell-ontology guided Transcriptome Foundation Model (TFM). 📜 Paper: openreview.net/pdf?id=aeYNVtT… 🛠️ GitHub: github.com/DeepGraphLearn… 🤗 HuggingFace: huggingface.co/collections/ka…

We’re giving a tutorial on protein design at #AAAI2025! Come and join us if you’re interested.

🔥Excited to present *Proteina* next week (accepted as Oral to ICLR'25) in the ML Protein Engineering Seminar Series. Hear about scalable protein backbone generation, fold class guidance, and more! Also, stay tuned for the upcoming official release, including code and weights!🔥

🔥Large-scale protein structure generation? Flow Matching? Fold class guidance? Big transformers? State-of-the-art benchmark performance?🔥 Very excited for this session on Friday, with the amazing Tomas Geffner, & hosted by Michael Bronstein, Bruno Correia! Hope to see you there! 😀

My GTC talk highlighting some of the Gen AI for science projects from my team at NVIDIA and the lessons we've learned along the way is now publicly available. Bonus point, I used some new pictures of Peanut in the presentation. nvidia.com/en-us/on-deman…