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NvidiaPatent applicationAI & softwareInterest 6/10

Nvidia patents method to shrink neural networks by removing unused parts

Patent drawing
Patent drawing from the official filing.

Nvidia describes a technique to make artificial intelligence models smaller by identifying and removing specific components called filters. The system groups these filters across different layers of the network and uses a mathematical process to ensure that removing them does not break the model's structure.

Why it mattersThis could help make AI models run faster and use less memory, which is useful for devices with limited power like phones and laptops.

In the filing’s own words

Systems and methods to use weight information corresponding to a neural network, wherein weight information of at least a first one or more layers of the neural network is modified to compensate for deactivating one or more second layers of the neural network. The neural network may be a residual neural network.

What exactly they claim (claim 1)

1. One or more processors, comprising: circuitry to: group one or more filters across two or more layers of a neural network; perform a regularization on the group of the one or more filters to enforce aligned structure sparsity across the two or more layers; and remove the group of the one or more filters from the two or more layers of the neural network based, at least in part, on a result of the regularization and a pruning criteria.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
VARIANCE AWARE TECHNIQUES TO PRUNE NEURAL NETWORKS
Publication number
US20260310965A1
Application number
19710162
Filed
Jun 16, 2026
Published
Oct 8, 2026
Inventors
3
Claims
20

Classified under

G06N 3/082 Physics & computingG06N 3/04 Physics & computingG06V 30/18057 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.