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Nvidia presents Edify Image High-Quality Image Generation with Pixel Space Laplacian Diffusion Models

We have released a tech report on Edify 3D, documenting our two-year effort at NVIDIA on 3D asset generation, from research to product launch! Paper: arxiv.org/abs/2411.07135 Project page: research.nvidia.com/labs/dir/edify… Definitely check out the video with 🔊! youtube.com/watch?v=ROqB8x…

github.com/NVIDIA/Cosmos Cosmos is a developer-first platform designed to help physical AI builders accelerate their development. It has pre-trained world foundation models (diffusion & autoregressive) in different sizes and video tokenizers. They are open models with permissive

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I am very happy to be involved in this collaboration. Stay tuned to hear about some cool updates soon! 🔥

Our team is actively recruiting at all levels. Come join us in this exciting journey! 🚀

AI/ML Internships in Drug Discovery🚨 Our team is hiring PhD research interns for summer 2025 in the US. Come work with us on cutting-edge drug discovery projects! We have 3 openings: 1. Hyperbolic NNs for sequence modeling: jobs.jnj.com/en/jobs/250623… 2. Causal Inference and

It was a true pleasure to be part of this amazing collaboration! Super happy to see Evo2 out there! 😍 Interested in how we trained a 40B conv-attn Hybrid model with a 1M context length? Check out our technical report -- see Michael Poli’s thread here: x.com/MichaelPoli6/s….

Awesome to see our Evo 2 model highlighted in Jensen's keynote at GTC Arc Institute 🤝 NVIDIA

We are happy to introduce Cosmos-Reason1, our reasoning model specifically trained for Physical AI. Really proud of being part of this immense effort 💪

To help with the development of physical #EmbodiedAI, enhance how #Robot and #AutonomousVehicle understand the physical world, our team at #NVIDIA has explored and open-sourced two new additions for the #NvidiaCosmos #WorldModel family at #GTC25 Details in 🧵👇🏼(1/n)

Finally a comprehensive paper on neural networks with non-linear equivariant maps arxiv.org/abs/2504.20974