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Nvidia patents AI-driven simulation for generating synthetic data

Nvidia describes a system that uses artificial intelligence to predict how objects should move within a simulated environment. By analyzing the current context and past events, the AI model determines specific actions for assets, which are then executed to create realistic simulation data.

Why it mattersThis approach could help developers create large amounts of realistic training data for autonomous systems without needing to record every real-world scenario.

In the filing’s own words

Apparatuses, systems, and techniques for automated activity simulation and synthetic data generation are provided. Bounding box data for a first object in an environment is obtained. First simulation operations are performed with respect to an asset in an environment in accordance with a simulation of the asset in the environment. Contextual data representing a context of the simulation environment and historical data representing historical simulation events associated with the asset are obtained. The contextual data and the historical simulation data are provided as an input to an artificial intelligence (AI) model. An action associated with the asset in view of contextual data and the historical simulation data, and second simulation operations associated with the action are extracted from output(s) of the AI model. The second simulation operations are performed to simulate the action with respect to the asset in the environment in accordance with the simulation.

What exactly they claim (claim 1)

1. A method comprising: performing one or more first simulation operations with respect to an asset in an environment in accordance with a simulation of the asset in the environment; obtaining contextual data representing a context of the environment in accordance with the simulation, and historical simulation data representing one or more historical simulation events associated with the asset; providing the contextual data and the historical simulation data as an input to an artificial intelligence (AI) model; determining, based at least on one or more outputs of the AI model: an action associated with the asset in view of the contextual data and the historical simulation data, and one or more second simulation operations associated with the action; and performing the one or more second simulation operations to simulate the action with respect to the asset in the environment in accordance with the simulation.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
METHODS AND SYSTEMS FOR AUTOMATED SIMULATION ACTIVITY AND SYNTHETIC DATA GENERATION
Publication number
US20260278210A1
Application number
19080692
Filed
Mar 14, 2025
Published
Sep 17, 2026
Inventors
5
Claims
20

Classified under

G06F 30/27 Physics & computingA63F 13/57 Human necessities

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.