LogInOne more important announcement from today's GTC keynote.
NVIDIA today revealed NVIDIA Omniverse Replicator, a powerful synthetic-data-generation engine that allows generating physically simulated synthetic data for training deep neural networks.
The company introduced two applications for generating synthetic data: one for NVIDIA DRIVE Sim, a virtual world for hosting the digital twin of autonomous vehicles, and another for NVIDIA Isaac Sim, a virtual world for the digital twin of manipulation robots.
NVIDIA states these replicators let developers to "bootstrap AI models, fill real-world data gaps, and label the ground truth in ways humans cannot. Data generated in these virtual worlds can cover a broad range of diverse scenarios, including rare or dangerous conditions that can’t regularly or safely be experienced in the real world."
"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."
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