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NVIDIA just introduced Cosmos, a platform for world foundation models designed for robotics. ⦿ It features advanced tokenizers, an AI-accelerated data pipeline, and integration with NVIDIA Omniverse. Humanoid makers 1X, Figure, and Agility are among the first to adopt Cosmos. ⦿ Cosmos generates synthetic, physics-based data, accelerating model training...

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The Humanoid Hub

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129,383 görüntüleme • 1 yıl önce •via X (Twitter)

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The Humanoid Hub1 yıl önce

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ARK Electronics1 yıl önce

Excited about the latest tech for your drone product? Our NDAA-compliant, US-made flight controllers are designed to accelerate your path to market and provide a solid platform for developing your autonomous software. Check them out! #Drones #UAV #UAS #Robotics #MadeInUSA

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Briscoe Crain IV1 yıl önce

I’m buying more NVIDIA in the morning! 😂

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Robot Machines1 yıl önce

This is the foreseeable future of robotics.

Appy Pie profil fotoğrafı
Appy Pie1 yıl önce

Game-changer for robotics! Cosmos is setting a new standard for scalable training and deployment. Excited to see how pioneers like 1X and Agility leverage this!

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Leo Grundström1 yıl önce

Can this be used for video generation?

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Brent1 yıl önce

This Blew Me Away !!! 😮 Entire video:

Bruno P. Boutteau profil fotoğrafı
Bruno P. Boutteau1 yıl önce

Cosmos is not Newton for the moment.

odesha profil fotoğrafı
odesha1 yıl önce

Must try this out!

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Uri Gil1 yıl önce

Havent they already announced that? I didn't hear of anybody who uses those two train robots

Benzer Videolar

NEWS: Nvidia has just introduced "Cosmos," a world foundation model created to understand the physical world. The model can generate synthetic data to train robotics.
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NEWS: Nvidia has just introduced "Cosmos," a world foundation model created to understand the physical world. The model can generate synthetic data to train robotics.

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Physics AI 🌊 Jensen just unveiled the NVIDIA Isaac GR00T Reference Humanoid Robot at GTC Taipei--the world’s first open-source humanoid robot reference design Built on Jetson Thor edge computing and the Isaac GR00T open platform, it features a Unitree H2 Plus body with Sharpa five-finger dexterous hands and 75 degrees of freedom. Even before Physical AI truly explodes, NVIDIA has built a complete end-to-end full-stack infrastructure: >chips (Jetson Thor + Blackwell), >synthetic data (GR00T-Dreams), >world models (Cosmos), >foundation models (GR00T N-series VLA), >high-fidelity simulation platforms (Isaac Sim + Isaac Lab + Omniverse). Dozens of humanoid robot companies ,including Agility Robotics, Aglie robotics,Boston Dynamics, Figure, 1X, NEURA Robotics, XPENG Robotics, and more are already running large-scale daily simulation training on this platform, rapidly iterating perception, reasoning, and actions in virtual environments, speeding up the jump from lab prototypes to real factory deployment. By providing an open reference design and full-stack tools, NVIDIA has dramatically lowered the barrier, letting every robotics team join the Physical AI wave with low cost and high efficiency.

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A humanoid robot policy trained solely on synthetic data generated by a world model. Research Scientist Joel Jang presents NVIDIA's DreamGen pipeline: ⦿ Post-train the world model Cosmos-Predict2 with a small set of real teleoperation demos. ⦿ Prompt the world model to generate synthetic video data with verbs and scenarios not used in the world model’s post-training. ⦿ Auto-label synthetic video data with action sequences. ⦿ Train robot policies using only synthetic data. That's it. Deploy zero-shot to a real humanoid robot.
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A humanoid robot policy trained solely on synthetic data generated by a world model. Research Scientist Joel Jang presents NVIDIA's DreamGen pipeline: ⦿ Post-train the world model Cosmos-Predict2 with a small set of real teleoperation demos. ⦿ Prompt the world model to generate synthetic video data with verbs and scenarios not used in the world model’s post-training. ⦿ Auto-label synthetic video data with action sequences. ⦿ Train robot policies using only synthetic data. That's it. Deploy zero-shot to a real humanoid robot.

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Sat down with Rev Labaredian, VP of Omniverse & Simulation Technology @ NVIDIA, to discuss the age of physical AI, how companies are using NVIDIA's Cosmos models, and why Robotics continues to accelerate. Thank you to Rev NVIDIA Robotics @NVIDIAOmniverse for taking the time!
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Sat down with Rev Labaredian, VP of Omniverse & Simulation Technology @ NVIDIA, to discuss the age of physical AI, how companies are using NVIDIA's Cosmos models, and why Robotics continues to accelerate. Thank you to Rev NVIDIA Robotics @NVIDIAOmniverse for taking the time!

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Fun fact: 11% of the 20M hours of data that trained NVIDIA AI Developer Cosmos was driving footage. I put it to the test. Here are some of my favorites. I have a guide for generating videos locally with Cosmos. Watch it here: #AI #GenerativeAI
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Fun fact: 11% of the 20M hours of data that trained NVIDIA AI Developer Cosmos was driving footage. I put it to the test. Here are some of my favorites. I have a guide for generating videos locally with Cosmos. Watch it here: #AI #GenerativeAI

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🤔Want a principled way to RL your diffusion model? Check Data-regularized Reinforcement Learning (DDRL)! Post-train NVIDIA #Cosmos World Foundation models with a million GPU hours! 🤯 Novel formulation ➡️ Theoretically integrates SFT into RL ➡️ Robust to Reward Hacking 🛑 Details: #DDRL #Diffusion #RL #NVIDIA #Cosmos
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🤔Want a principled way to RL your diffusion model? Check Data-regularized Reinforcement Learning (DDRL)! Post-train NVIDIA #Cosmos World Foundation models with a million GPU hours! 🤯 Novel formulation ➡️ Theoretically integrates SFT into RL ➡️ Robust to Reward Hacking 🛑 Details: #DDRL #Diffusion #RL #NVIDIA #Cosmos

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NVIDIA Cosmos 3 launches with a full model family — Cosmos Super for highest-accuracy robotics and AV post-training, Cosmos Nano for high-speed video and action reasoning, and Cosmos Edge for real-time edge inference. Read the release ➡️
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The next frontier of AI is physical. 🤖 From simulation to synthetic data, developers are training robots to understand the real world with NVIDIA Cosmos, Isaac simulation frameworks and open-source physics engine, Newton. Watch the video to see how partners like Hon Hai Technology Group (Foxconn), Hexagon, Humanoid, Noble Machines, and Skild AI are building the future. 🎥
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