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. 15, 2022

Filed:

Jan. 21, 2022
Applicant:

Sas Institute Inc., Cary, NC (US);

Inventors:

Deovrat Vijay Kakde, Cary, NC (US);

Haoyu Wang, Cary, NC (US);

Anya Mary McGuirk, Holly Springs, NC (US);

Assignee:

SAS Institute Inc., Cary, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06K 9/62 (2022.01); H01L 21/66 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06K 9/6265 (2013.01); G06N 20/00 (2019.01); H01L 22/20 (2013.01);
Abstract

A computing device accesses a machine learning model trained on training data of first bonding operations (e.g., a ball and/or stitch bond). The first bonding operations comprise operations to bond a first set of multiple wires to a first set of surfaces. The machine learning model is trained by supervised learning. The device receives input data indicating process data generated from measurements of second bonding operations. The second bonding operations comprise operations to bond a second set of multiple wires to a second set of surfaces. The device weights the input data according to the machine learning model. The device generates an anomaly predictor indicating a risk for an anomaly occurrence in the second bonding operations based on weighting the input data according to the machine learning model. The device outputs the anomaly predictor to control the second bonding operations.


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