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USPTO Patent Grant for Data Generation Device and Learning Method

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Published March 24th, 2026
Detected March 24th, 2026
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Summary

The USPTO has granted a patent (US12582959B2) to FUJIFILM Corporation for a data generation device and learning method. This patent covers a system designed to create datasets for training neural networks used in product manufacturing processes.

What changed

The United States Patent and Trademark Office (USPTO) has issued patent US12582959B2 to FUJIFILM Corporation for a novel data generation device and associated learning method. The patent describes a system that creates a dataset comprising multiple pieces of learning data for training neural networks. These networks are intended to predict production results based on input process conditions in a manufacturing context. The method involves setting a large number of process conditions (at least 2xM0, where M0 is the total number of connection weights in the neural network), acquiring production results for each condition, and generating a dataset from this information.

This patent grant is primarily of interest to entities involved in AI development, machine learning, and manufacturing technology. While it does not impose new regulatory obligations on businesses, it represents a significant intellectual property asset for FUJIFILM Corporation in the field of AI-driven manufacturing. Compliance officers should note this as a development in the IP landscape related to AI and data generation technologies, particularly for companies operating in or licensing technology within the advanced manufacturing sector.

Source document (simplified)

← USPTO Patent Grants

Data generation device and method, and learning device and method

Grant US12582959B2 Kind: B2 Mar 24, 2026

Assignee

FUJIFILM Corporation

Inventors

Masataka Hasegawa

Abstract

A data generation device generates a data set consisting of a plurality of pieces of learning data for training a neural network in which a plurality of layers are connected by a plurality of connection weights, the neural network outputting a production result corresponding to a process condition in a case where the process condition is input in a process for producing a product. At this time, assuming that a total number of the connection weights of the neural network is M0, a plurality of the process conditions of 2×M0 or more are set. In addition, a production result corresponding to each of the plurality of process conditions is acquired, which is derived by producing the product under each of the plurality of process conditions. The plurality of pieces of learning data consisting of the plurality of process conditions and the production result are generated as the data set.

CPC Classifications

G06N 3/04

Filing Date

2021-08-20

Application No.

17407770

Claims

4

View original document →

Named provisions

Data generation device and method, and learning device and method

Classification

Agency
USPTO
Published
March 24th, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US12582959B2

Who this affects

Applies to
Manufacturers Technology companies
Industry sector
3341 Computer & Electronics Manufacturing 3254 Pharmaceutical Manufacturing
Activity scope
AI Development Data Generation
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Data Management

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