Unity King

Gaming and Technology Blog

Tag: world models

  • Nvidia Cosmos: New World Models for Robotics

    Nvidia Cosmos: New World Models for Robotics

    Nvidia Unveils Cosmos World Models for Robotics

    Notably NVIDIA unveiled a powerful suite of Cosmos world foundation models WFMs and Omniverse libraries tools specifically designed to transform how AI is trained and deployed in robotics and physical environments.

    Omniverse Libraries & AI Infrastructure

    • Notably:NuRec 3D Gaussian Splatting is an advanced rendering technique that creates realistic digital twins from sensor data. Moreover it supports ray-traced reconstructions for simulator environments like CARLA.
    • Omniverse SDK Updates: Adds integration with MuJoCo and OpenUSD. It also improves support in Isaac Sim 5.0 and Isaac Lab 2.2, easing the bridge between simulation and robotics.
    • Compute Hardware: RTX PRO Blackwell Servers and DGX Cloud now power robotics workloads. They offer high-performance compute options from rack to cloud.

    Real-World Impact and Adoption

    Boston Dynamics has deepened its collaboration with NVIDIA particularly around its humanoid robot Atlas:

    • Atlas now runs on NVIDIA’s Jetson Thor computing platform enabling it to execute complex multimodal AI models with greater efficiency and performance .
    • The Isaac Lab framework built on Isaac Sim Omniverse and Cosmos facilitates simulation-based learning for Atlas helping it adapt dynamic movements and real-world task execution in virtual settings before deployment .
    • These tools are also being applied to Spot their quadruped and Orbit fleet management software to enhance locomotion control and real-time hazard avoidance using foundational AI models .

    Amazon Devices & Services: Manufacturing Gets Smarter

    • Similarly Amazon is deploying Omniverse libraries and Cosmos tools to power advanced manufacturing solutions leveraging the synthetic data generation and simulation capabilities these platforms offer. NVIDIA Newsroom.

    Figure AI & Other Innovators

    Figure AI alongside Hexagon RAI Institute Lightwheel and Skild AI is actively leveraging Omniverse libraries Isaac Sim and Isaac Lab to accelerate development of AI-driven robotics systems

    Infrastructure for Robotics

    Nvidia is also providing a robust infrastructure to support the development and deployment of these models. This includes:

    • Software Tools: A suite of software tools designed to streamline the development process.
    • Hardware Acceleration: Utilizing Nvidia’s powerful GPUs to accelerate the training and inference of AI models.
    • Cloud Services: Access to cloud-based resources for training and deployment.
  • Google Veo 3: Playable World Models Arriving?

    Google Veo 3: Playable World Models Arriving?

    Google’s Veo 3: A Leap Towards Playable World Models?

    The rapid evolution of AI continues to astound, and Google’s Veo 3 could represent a significant leap towards creating playable world models. Imagine AI that doesn’t just generate videos, but constructs interactive environments. Is this the direction we are headed?

    Understanding Veo 3

    Veo 3 is Google’s latest AI model designed for video generation. While its predecessors showed impressive capabilities, Veo 3 boasts enhanced realism, consistency, and control. These improvements are crucial steps in creating AI that can simulate complex, dynamic environments. You can explore more about Google’s AI advancements on their AI Developers page.

    What are Playable World Models?

    Playable world models are simulated environments where users can interact and influence the outcome. Think of advanced video games or training simulations where every action has a consequence. They need to be:

    • Interactive: Users can directly engage with the environment.
    • Dynamic: The environment responds realistically to user actions.
    • Consistent: The rules of the world remain constant, allowing for predictable interactions.

    Veo 3 as a Building Block

    Veo 3’s advancements address key challenges in creating these models:

    • Realism: Improved video quality makes simulations more believable.
    • Consistency: Better temporal coherence prevents jarring visual inconsistencies.
    • Control: Fine-grained control allows for precise manipulation of the environment.

    These advancements bring the possibility of creating highly realistic, interactive simulations closer to reality. Learn more about the building blocks of AI models on TensorFlow.

    The Road Ahead

    While Veo 3 is a significant step, challenges remain. Creating fully playable world models requires solving issues such as:

    • Computational Power: Simulating complex environments demands immense processing capabilities.
    • Data Requirements: Training AI to understand and respond to diverse interactions requires vast datasets.
    • Predictability: Ensuring consistent and logical responses across all scenarios is crucial.

    Overcoming these hurdles will unlock the true potential of playable world models. Further advancements are required to achieve fully realized simulations. Keep abreast with the latest news on DeepMind.