The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 30, 2026

Filed:

Nov. 05, 2021
Applicant:

The Boeing Company, Chicago, IL (US);

Inventors:

Anapathur Viswanathan Ramesh, Bothell, WA (US);

Michael Thomas Swayne, Redmond, WA (US);

Huafeng Yu, Madison, AL (US);

Assignee:

The Boeing Company, Arlington, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/088 (2023.01); G06F 18/24 (2023.01); G06N 3/045 (2023.01); G06V 30/24 (2022.01);
U.S. Cl.
CPC ...
G06N 3/088 (2013.01); G06F 18/24 (2023.01); G06N 3/045 (2023.01); G06V 30/248 (2022.01); G06V 30/2528 (2022.01);
Abstract

A classifier is executed including an unsupervised artificial intelligence model and a supervised artificial intelligence model. The classifier is configured to receive run-time input data, and process the run-time input data using the unsupervised artificial intelligence model and an outlier detection algorithm to determine whether the run-time input data is an outlier as compared to training input data. Responsive to determining that the run-time input data is not an outlier, the classifier determines a predicted response label for the run-time input based on the run-time input data processed using the supervised artificial intelligence model. Responsive to determining that the run-time input data is an outlier, the classifier refrains from determining the predicted response label for the run-time input based on the run-time input data processed using the supervised artificial intelligence model, and instead outputs a prompt for user input of a user-curated response label for the run-time input.


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