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NvidiaGranted patentAI & softwareInterest 6/10

Nvidia patents method to train AI using synthetic data and real-world models

Nvidia describes a technique for training artificial intelligence models using computer-generated images. The system uses a second, already-trained AI model to calculate a scaling factor that adjusts how the first model learns from the synthetic data.

Why it mattersThis could help developers create more accurate AI systems by combining the speed of synthetic data with the realism of models trained on actual photos.

In the filing’s own words

Apparatuses, systems, and techniques to train one or more neural networks. In at least one embodiment, one or more neural networks are trained based, at least in part, on inferencing output from one or more second neural networks.

What exactly they claim (claim 1)

1. One or more processors, comprising: circuitry to use one or more first neural networks to identify one or more objects in one or more synthetic images based, at least in part, on: identifying a plurality of layers of the one or more first neural networks based on one or more inputs to the plurality of layers; a scaling factor, computed based on calculating a loss corresponding to an inferencing response of one or more second neural networks in response to an input of one or more second synthetic images, wherein the one or more second neural networks are trained on non-synthetic images; and one or more hyperparameters generated using the one or more second neural networks and adjusted for the one or more first neural networks using the scaling factor in a policy corresponding to the plurality of layers of the one or more first neural networks, wherein the one or more first neural networks are trained using the one or more hyperparameters while one or more parameters of the one or more second neural networks are frozen.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
Neural network training technique
Patent number
US12731024B2
Application number
16859360
Filed
Apr 27, 2020
Granted
Sep 8, 2026
Inventors
3
Claims
30

Classified under

G06N 3/08 Physics & computingG06N 3/044 Physics & computingG06N 3/045 Physics & computingG06N 3/063 Physics & computing

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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.