Step into the Future of Industrial-Grade Edge AI with NVIDIA Jetson AGX Orin Industrial
Embedded edge AI is transforming industrial environments by introducing intelligence and real-time processing to even the most challenging settings. Edge AI is...
AI and its newest subdomain generative AI are dramatically accelerating the pace of change in scientific computing research. From pharmaceuticals and materials...
Design Your Robot on Hardware-in-the-Loop with NVIDIA Jetson
Hardware-in-the-loop (HIL) testing is a powerful tool used to validate and verify the performance of complex systems, including robotics and computer vision....
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. Training a computer vision model to automate inspection is difficult...
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...
Exploring Unique Applications of Text-to-Speech Technology
When interacting with a virtual assistant, you give a command and receive a verbal response. The technology powering this generated voice response is known as...
Using Carbon Capture and Storage Digital Twins for Net Zero Strategies
CO2 capture and storage technologies (CCS) catch CO2 from its production source, compress it, transport it through pipelines or by ships, and store it...
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...
Implementing USD for Game Development Pipelines: An Interview with Polyphony Digital
Polyphony Digital, a subsidiary of Sony Interactive Entertainment Inc and the creators of Gran Turismo, has exceeded 90M copies of cumulative sell-through sales...
Open Source Time Synchronization Services for Data Center Operators
Applications are increasingly real-time and delay-sensitive, from distributed databases and 5G radio access networks (RANs) to gaming, video streaming,...
