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:
Nov. 07, 2023

Filed:

Jul. 19, 2022
Applicant:

At&t Intellectual Property I, L.p., Atlanta, GA (US);

Inventors:

Velin Kounev, Weehawken, NJ (US);

Yaron Kanza, Fair Lawn, NJ (US);

Arun Jotshi, Parsippany, NJ (US);

Weiwei Duan, Los Angeles, CA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/214 (2023.01); G06N 3/04 (2023.01); H04W 16/18 (2009.01); G06N 3/08 (2023.01); G06V 10/22 (2022.01); G06F 18/40 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2148 (2023.01); G06F 18/41 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06V 10/22 (2022.01); H04W 16/18 (2013.01);
Abstract

Aspects of the subject disclosure may include, for example, obtaining user input identifying a first user-identified network feature of a training image of a geographical region. The training image and the user-identified feature are provided to a neural network adapted to train itself according to the user-identified features to obtain a first trained result that classifies objects within the image according to the user-identified feature. The training image and the first trained result are displayed, and user-initiated feedback is obtained to determine whether a training requirement has been satisfied. If not satisfied, the user-initiated feedback is provided to the neural network, which retrains itself according to the feedback to obtain a second trained result that identifies an updated machine-recognized feature of the training image. The process is repeated until a training requirement has been satisfied, after which a map is annotated according to the machine-recognized feature. Other embodiments are disclosed.


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