Neural Network Weight Fetching Based on Calibration Operations
Summary
USPTO published patent application US20260093971A1 by inventor Weiliang Liu, disclosing techniques for fetching neural network weights based on calibration operations. The application (G06N 3/065) covers apparatuses and systems for executing neural networks with optimized weight retrieval. No compliance obligations or deadlines are associated with this publication.
What changed
USPTO published patent application US20260093971A1 for a neural network weight fetching technique classified under G06N 3/065. The invention describes performing one or more neural network calibration operations prior to causing neural network weights to be fetched based on those calibration operations. The application was filed on November 22, 2024, with inventor Weiliang Liu.
Patent applications are public disclosures of claimed inventions and do not create any compliance obligations or deadlines for external parties. Technology companies developing neural network systems may review the publication to understand claimed techniques for weight fetching optimization, though this does not constitute regulatory guidance. The document is informational only and carries no enforcement implications.
Archived snapshot
Apr 2, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
FETCHING NEURAL NETWORK WEIGHTS ACCORDING TO NEURAL NETWORK CALIBRATION OPERATIONS
Application US20260093971A1 Kind: A1 Apr 02, 2026
Inventors
Weiliang Liu
Abstract
Apparatuses, systems, and techniques to fetch neural network weights to execute a neural network are described. In at least one embodiment, one or more neural network calibration operations may be performed prior to causing one or more neural network weights to be fetched based on the neural network calibration operations.
CPC Classifications
G06N 3/065
Filing Date
2024-11-22
Application No.
18957463
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