Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Announced at GTC, technical artists, software developers, and ML engineers can now build custom, physically accurate, synthetic data generation pipelines in the cloud with NVIDIA Omniverse Replicator. Omniverse Replicator is a highly extensible framework built on the NVIDIA Omniverse platform that enables physically accurate 3D synthetic data generation to accelerate the training and accuracy of perception networks.
Synthetic data is an important tool in training machine learning models for computer vision applications. Researchers from NVIDIA have introduced a structured domain randomization system within Omniverse Replicator that can help you train and refine models using synthetic data. Omniverse Replicator is an SDK built on the NVIDIA Omniverse platform that enables you to build custom synthetic data generation tools and workflows.
Deploying an autonomous robot to a new environment can be a tough proposition. How can you gain confidence that the robot’s perception capabilities are robust enough so it performs safely and as planned? Trimble faced this challenge when it started building plans to deploy the Spot robot in a variety of indoor settings and construction environments.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
