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:
Jul. 01, 2025

Filed:

Jan. 22, 2018
Applicants:

International Business Machines Corporation, Armonk, NY (US);

Johnson & Johnson Vision Care, Inc, Jacksonville, FL (US);

Inventors:

Lior Horesh, North Salem, NY (US);

Chai W. Wu, Hopewell Junction, NY (US);

Ramesh Natarajan, Pleasantville, NY (US);

Raya Horesh, North Salem, NY (US);

David Nahamoo, Great Neck, NY (US);

Christopher Wildsmith, Jacksonville, FL (US);

Michael Widman, Jacksonville, FL (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/046 (2023.01); B33Y 10/00 (2015.01); B33Y 50/00 (2015.01); G05B 19/418 (2006.01); G06F 30/00 (2020.01); G06F 30/20 (2020.01); G06F 30/27 (2020.01);
U.S. Cl.
CPC ...
G06N 5/046 (2013.01); G05B 19/41865 (2013.01); G06F 30/00 (2020.01); G06F 30/20 (2020.01); G06F 30/27 (2020.01); B33Y 10/00 (2014.12); B33Y 50/00 (2014.12);
Abstract

Methods and systems for determining control inputs to a manufacturing apparatus to manufacture a product are described. A processor may receive model data including initial state data indicating an initial state of an input material, a set of model control inputs, and target measurement data associated with a target product. The processor may learn a causal predictive model based on the target data. Each state of the causal predictive model may be based on an application of the model control inputs on a previous state of the causal predictive model. The processor may compare a final state of the causal predictive model with the target measurement data to determine a difference. The processor may determine, based on the difference, a set of control inputs to be assigned to one or more controls. The one or more controls may define a design of the manufacturing process of an end product.


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