Nvidia · NVIDIA Blog
How Open Models Are Driving AI Research
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Every year, the International Conference on Machine Learning (ICML) reveals where thousands of AI researchers have decided to put their work.
Key facts
- Approximately 2,000 accepted papers cite NVIDIA GPUs, and 145 cite NVIDIA Nemotron, a family of open models, including open datasets, as the foundation for new research
- Every year, the International Conference on Machine Learning (ICML) reveals where thousands of AI researchers have decided to put their work
- Sakana AI, attending ICML this year, built its Fugu and Fugu-Ultra models directly on Nemotron 3 Ultra, using the open foundation to push forward its work on AI research automation
- The Cosmos 3 family of open, frontier omnimodels gives researchers and developers a generational leap in the ability to build robots, autonomous vehicles and vision AI that perceive, reason, plan
Summary
This year’s accepted papers reveal a clear direction: open frontier models and open AI infrastructure have become foundational to how modern AI science gets done. NVIDIA had 74 papers accepted at ICML 2026. Areas including vision and video generation, reinforcement learning for large language models ( LLMs ) and agent training as well as AI inference remained prominent themes across this year’s papers, reflecting sustained investment these fields command, while several new areas also broke through. Robot world models drew significant attention, with papers like DreamDojo pushing the boundary of how AI systems learn to reason about and act in physical environments.