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Method and Apparatus for Determining Physical State of Object via Neural Network

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Summary

USPTO published patent application US20260093961A1 for a computer-implemented method using neural networks to determine physical states of objects. The method divides object shapes into sub-shapes, computes local solutions via a neural network model, and derives global solutions representing the object's physical state. Invented by Jianing Huang, Youjia Wu, Kaixuan Zhang, and Ze Cheng. This is an informational publication with no regulatory obligations.

What changed

USPTO published patent application US20260093961A1 on April 2, 2026, covering a computer-implemented method for determining the physical state of an object through neural networks. The method involves dividing an object's shape into sub-shapes, obtaining local solutions for each sub-shape via a neural network model based on global boundary conditions, and combining these into a global solution representing the object's physical state. The application (No. 19342526) was filed on September 27, 2025.

This patent application publication is informational only and creates no compliance obligations for regulated entities. Technology companies developing AI systems for physical state analysis should review the published claims to assess potential patent landscape implications. No action is required unless the company is involved in similar technology development where this publication may constitute prior art.

Archived snapshot

Apr 2, 2026

GovPing 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.

← USPTO Patent Applications

METHOD AND APPARATUS FOR DETERMINING PHYSICAL STATE OF AN OBJECT

Application US20260093961A1 Kind: A1 Apr 02, 2026

Inventors

Jianing Huang, Youjia Wu, Kaixuan Zhang, Ze Cheng

Abstract

A computer-implemented method for determining the physical state of an object having a shape includes (i) dividing the shape of the object into a plurality of sub-shapes, (ii) obtaining a local solution for each of the plurality of sub-shapes through a neural network model based on a global boundary condition for the shape and the plurality of sub-shapes, wherein the local solution for each sub-shape represents the local physical state of the object having the sub-shape, and (ii) obtaining a global solution for the shape based on the local solution for each sub-shape in the plurality of sub-shapes, wherein the global solution for the shape represents the physical state of the object.

CPC Classifications

G06N 3/0475 G06N 3/08

Filing Date

2025-09-27

Application No.

19342526

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Last updated

Classification

Agency
USPTO
Published
April 2nd, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US20260093961A1

Who this affects

Industry sector
5112 Software & Technology
Activity scope
Patent Filing
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Technology

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