SIGGRAPH—NVIDIA today announced major advancements to Universal Scene Description, or OpenUSD, that will expand adoption of the universal 3D data interchange framework to robotics, industrial design and engineering, and accelerate developers’ abilities to build highly accurate virtual worlds for the next evolution of AI.
Category: Misc
To accelerate humanoid development on a global scale, NVIDIA today announced it is providing the world’s leading robot manufacturers, AI model developers and software makers with a suite of services, models and computing platforms to develop, train and build the next generation of humanoid robotics.
Generative physical AI models can understand and execute actions with fine or gross motor skills within the physical world. Understanding and navigating in the…
Generative physical AI models can understand and execute actions with fine or gross motor skills within the physical world. Understanding and navigating in the 3D space of the physical world requires spatial intelligence. To achieve spatial intelligence in physical AI involves converting the real world into AI-ready virtual representations that the model can understand.
NVIDIA announced at SIGGRAPH fVDB, a new deep-learning framework for generating AI-ready virtual representations of the real world. fVDB is built on top of OpenVDB, the industry-standard library for simulating and rendering sparse volumetric data such as water, fire, smoke and clouds. Generative physical AI, such as autonomous vehicles and robots that inhabit the real
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The world’s brands and agencies are using generative AI to create advertising and marketing content, but it doesn’t always provide the desired outputs. NVIDIA offers a comprehensive set of technologies — bringing together generative AI, NVIDIA NIM microservices, NVIDIA Omniverse and Universal Scene Description (OpenUSD) — to allow developers to build applications and workflows that
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One of the world’s largest AI communities — comprising 4 million developers on the Hugging Face platform — is gaining easy access to NVIDIA-accelerated inference on some of the most popular AI models. New inference-as-a-service capabilities will enable developers to rapidly deploy leading large language models such as the Llama 3 family and Mistral AI
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At SIGGRAPH 2024 this week, NVIDIA is showcasing the latest advancements in the NVIDIA Maxine AI developer platform, available through NVIDIA AI…
At SIGGRAPH 2024 this week, NVIDIA is showcasing the latest advancements in the NVIDIA Maxine AI developer platform, available through NVIDIA AI Enterprise. This platform empowers you to deploy cutting-edge AI features that enhance audio and video quality and enable augmented reality effects. NVIDIA just announced the upcoming availability of Maxine 3D and Maxine Video Relighting for early…
NVIDIA announced new USD-based generative AI and NVIDIA-accelerated development tools built on NVIDIA Omniverse at SIGGRAPH 2024. These advancements will expand…
NVIDIA announced new USD-based generative AI and NVIDIA-accelerated development tools built on NVIDIA Omniverse at SIGGRAPH 2024. These advancements will expand adoption of Universal Scene Description (OpenUSD) to robotics, industrial design, and engineering, so developers can quickly build highly accurate virtual worlds for the next evolution of AI. OpenUSD is an open-source framework and…
Training physical AI models used to power autonomous machines, such as robots and autonomous vehicles, requires huge amounts of data. Acquiring large sets of…
Training physical AI models used to power autonomous machines, such as robots and autonomous vehicles, requires huge amounts of data. Acquiring large sets of diverse training data can be difficult, time-consuming, and expensive. Data is often limited due to privacy restrictions or concerns, or simply may not exist for novel use cases. In addition, the available data may not apply to the full range…
Robots need to be adaptable, readily learning new skills and adjusting to their surroundings. Yet traditional training methods can limit a robot’s ability to…
Robots need to be adaptable, readily learning new skills and adjusting to their surroundings. Yet traditional training methods can limit a robot’s ability to apply learned skills in new situations. This is often due to the gap between perception and action, as well as the challenges in transferring skills across different contexts. NVIDIA Isaac Lab is an open-source modular framework for…