NVIDIA announced Omniverse Replicator, an engine for generating synthetic data for training deep neural networks. One of the company’s first implementations is an application for NVIDIA Isaac Sim, a virtual world for digital twins of manipulation robots.
“Omniverse Replicator allows us to create diverse, massive, accurate datasets to build high-quality, high-performing, and safe datasets, which is essential for AI,” said Rev Lebaredian, vice president of simulation technology and Omniverse engineering at NVIDIA. “While we have built two domain-specific data-generation engines ourselves, we can imagine many companies building their own with Omniverse Replicator.”
GENISOM AI makes ICRA debut at conference in Vienna
World's first omni-modal evaluation including tactile sensing for…
Ultrasonic sensing enhances robotics perception
North America’s largest automation and robotics event takes place June 22-25
