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For Your Edification: Shutterstock Releases Generative 3D, Getty Images Upgrades Service Powered by NVIDIA

Designers and artists have new and improved ways to boost their productivity with generative AI trained on licensed data. Shutterstock, a leading platform for creative content, launched its Generative 3D service in commercial beta. It lets creators quickly prototype 3D assets and generate 360 HDRi backgrounds that light scenes, using just text or image prompts.
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AI Gets Physical: New NVIDIA NIM Microservices Bring Generative AI to Digital Environments

Millions of people already use generative AI to assist in writing and learning. Now, the technology can also help them more effectively navigate the physical world. NVIDIA announced at SIGGRAPH generative physical AI advancements including the NVIDIA Metropolis reference workflow for building interactive visual AI agents and new NVIDIA NIM microservices that will help developers
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New NVIDIA Digital Human Technologies Enhance Customer Interactions Across Industries

Generative AI is unlocking new ways for enterprises to engage customers through digital human avatars. At SIGGRAPH, NVIDIA previewed James, an interactive digital human that can connect with people using emotions, humor and more. James is based on a customer-service workflow using NVIDIA ACE, a reference design for creating custom, hyperrealistic, interactive avatars. Users will
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Hugging Face Offers Developers Inference-as-a-Service Powered by NVIDIA NIM

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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NVIDIA Supercharges Digital Marketing With Greater Control Over Generative AI

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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Reality Reimagined: NVIDIA Introduces fVDB to Build Bigger Digital Models of the World

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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Building Spatial Intelligence from Real-World 3D Data Using Deep-Learning Framework fVDB

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.

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Fast-Track Robot Learning in Simulation Using NVIDIA Isaac Lab

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…

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How to Build a Generative AI-Enabled Synthetic Data Pipeline with OpenUSD

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…

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Integrate Generative AI into OpenUSD Workflows Using New NVIDIA Omniverse Developer Tools

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…

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