Cosmos World Foundation Model Platform for Physical AI
NVIDIA, Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He
2025-01-08
Summary
This paper talks about the Cosmos World Foundation Model Platform, a new tool to help create better AI systems that can interact with the physical world.
What's the problem?
Training AI to work in the real world is hard and dangerous. We need a way to train AI in a virtual environment before putting it into real-world situations. Current methods aren't good enough at simulating the real world accurately.
What's the solution?
The researchers created the Cosmos World Foundation Model Platform. This platform includes tools to process videos, pre-trained AI models that understand how the world works, and ways to customize these models for specific tasks. They made all of this open-source, meaning anyone can use and improve it.
Why it matters?
This matters because it could make developing AI for robots and self-driving cars much faster, safer, and cheaper. Instead of risking accidents in the real world, developers can test their AI in highly realistic virtual environments first. This could lead to big advances in AI that can interact with the physical world, potentially solving major problems in areas like manufacturing, transportation, and healthcare.
Abstract
Physical AI needs to be trained digitally first. It needs a digital twin of itself, the policy model, and a digital twin of the world, the world model. In this paper, we present the Cosmos World Foundation Model Platform to help developers build customized world models for their Physical AI setups. We position a world foundation model as a general-purpose world model that can be fine-tuned into customized world models for downstream applications. Our platform covers a video curation pipeline, pre-trained world foundation models, examples of post-training of pre-trained world foundation models, and video tokenizers. To help Physical AI builders solve the most critical problems of our society, we make our platform open-source and our models open-weight with permissive licenses available via https://github.com/NVIDIA/Cosmos.