Sensor simulation is a critical tool to address the gaps in real-world data for autonomous vehicle (AV) development. However, it is only effective if sensor...
Creating Immersive Events with OpenUSD and Digital Twins
Moment Factory is a global multimedia entertainment studio that combines specializations in video, lighting, architecture, sound, software, and interactivity to...
RTX-Powered Spatial Framework Delivers Full Ray Tracing with USD for XR Pipelines
Developing extended reality (XR) applications can be extremely challenging. Users typically start with a template project and adhere to pre-existing packaging...
Accelerate 3D Workflows with Modular, OpenUSD-Powered Omniverse Release
The latest release of NVIDIA Omniverse delivers an exciting collection of new features based on Omniverse Kit 105, making it easier than ever for developers to...
Leverage 3D Geospatial Data for Immersive Environments with Cesium
Geospatial data provides rich real-world environmental and contextual information, spatial relationships, and real-time monitoring capabilities for applications...
Developing Smart City Traffic Management Systems with OpenUSD and Synthetic Data
Smart cities are the future of urban living. Yet they can present various challenges for city planners, most notably in the realm of transportation. To be...
Developing a Pallet Detection Model Using OpenUSD and Synthetic Data
Imagine you are a robotics or machine learning (ML) engineer tasked with developing a model to detect pallets so that a forklift can manipulate them. ‌You are...
Bringing Far-Field Objects into Focus with Synthetic Data for Camera-Based AV Perception
Detecting far-field objects, such as vehicles that are more than 100 m away, is fundamental for automated driving systems to maneuver safely while operating on...
Power the Next Wave of Applications with NVIDIA BlueField-3 DPUs
ChatGPT, Stable Diffusion, DALL-E, and similar applications have awakened the world to generative AI. ChatGPT is the fastest-growing application in history. The...
Exelon Uses Synthetic Data Generation of Grid Infrastructure to Automate Drone Inspection
Most drone inspections still require a human to manually inspect the video for defects. Computer vision can help automate and accelerate this inspection...
How to Train a Defect Detection Model Using Synthetic Data with NVIDIA Omniverse Replicator
According to the American Society of Quality (ASQ), defects cost manufacturers nearly 20% of overall sales revenue. The products that we interact with on a...
Bootstrapping Object Detection Model Training with 3D Synthetic Data
Training AI models requires mountains of data. Acquiring large sets of training data can be difficult, time-consuming, and expensive. Also, the data collected...
Foundation models are AI neural networks trained on massive unlabeled datasets to handle a wide variety of jobs from translating text to analyzing medical...
Create Real-Time Simulations with NVIDIA Omniverse and Bentley LumenRT
At NVIDIA GTC 2023, Bentley Systems announced how organizations across industries are using LumenRT for NVIDIA Omniverse, powered by Bentley iTwin Platform, to...
Supercharging AI Video and AI Inference Performance with NVIDIA L4 GPUs
NVIDIA T4 was introduced 4 years ago as a universal GPU for use in mainstream servers. T4 GPUs achieved widespread adoption and are now the highest-volume...
