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tsungyiย 
posted an update about 2 hours ago
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๐ŸŽ‰ Exciting News โ€” NVIDIA Cosmos is celebrating its 1st birthday and has hit 5 MILLION downloads! ๐ŸŽ‰

In just one year, the Cosmos ecosystem has grown rapidly:
๐Ÿง  Cosmos Reason and Cosmos Predict have surpassed 2 MILLION downloads each on @HuggingFace , topping physical AI leaderboards
๐Ÿ”„ Cosmos Transfer is enabling adaptation across domains and tasks
๐Ÿ”ฎ Cosmos Cookbook is the go-to hub for recipes from developers and partners like Uber and IntBot.

Thank you to our amazing developer community for making this possible. Here's to pushing the boundaries of world foundation models together!

๐Ÿง‘๐Ÿปโ€๐ŸณRead the Cosmos Cookbook: https://nvda.ws/4qevli8
๐Ÿ“š Explore Models & Datasets: https://huggingface.co/collections/nvidia/nvidia-cosmos-2
tsungyiย 
posted an update 2 days ago
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Big news from CES โ€” Cosmos Reason 2 is here โ€” our most advanced reasoning vision-language model for physical AI, now topping the Physical AI Bench leaderboard๐Ÿ† shi-labs/physical-ai-bench-leaderboard

Whatโ€™s new:
- Enhanced physical reasoning & spatio-temporal understanding
- Flexible deployment with 2B & 8B model sizes
- Long-context understanding (up to 256K tokens)
- Object detection with 2D/3D point localizations and trajectory data
- New Cosmos Cookbook Recipes for faster onboarding

Read the full blog ๐Ÿ“– https://huggingface.co/blog/nvidia/nvidia-cosmos-reason-2-brings-advanced-reasoning
Download Cosmos Reason 2 ๐Ÿ‘‰ nvidia/Cosmos-Reason2-8B

On top of Cosmos Reason 2, we also rolled out other new updates, including:
- Cosmos Predict 2.5 โ€“ Unified Text2World/Image2World/Video2World model for higher-quality synthetic video worlds
- Cosmos Transfer 2.5-2B โ€“ Lightweight, high-fidelity world-to-world translation with stronger physics alignment
- NVIDIA GR00T N1.6 โ€“ Open robot foundation model for general-purpose robotic learning and control, integrated with Cosmos Reason

Get Started with the Cosmos Cookbook ๐Ÿง‘๐Ÿปโ€๐Ÿณ https://nvda.ws/4qevli8
di-zhang-fduย 
posted an update 7 days ago
di-zhang-fduย 
posted an update 9 days ago
di-zhang-fduย 
posted an update 23 days ago
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If linear attention is a system of first-order ordinary differential equations, can we find its exact analytical solution? Can the analytical solution derived from mathematical deduction be used as an attention mechanism? We propose EFLA, which attempts to theoretically eliminate Euler-order integration errors. Please have a look and upvote!

Error-Free Linear Attention is a Free Lunch: Exact Solution from Continuous-Time Dynamics

Error-Free Linear Attention is a Free Lunch: Exact Solution from Continuous-Time Dynamics (2512.12602)
di-zhang-fduย 
posted an update about 1 month ago
di-zhang-fduย 
posted an update 2 months ago