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:
Feb. 13, 2024

Filed:

Feb. 18, 2022
Applicant:

Intergraph Corporation, Madison, AL (US);

Inventors:

Julio P. Roque, Coconut Grove, FL (US);

Javier Buzzalino, Simpsonville, SC (US);

Gregory Louis Bondy, Austin, TX (US);

Srinivas Kodali, Memphis, TN (US);

Assignee:

Intergraph Corporation, Madison, AL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 13/10 (2006.01); G06F 9/50 (2006.01); G06F 9/54 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 9/505 (2013.01); G06F 9/5072 (2013.01); G06F 9/5077 (2013.01); G06F 9/543 (2013.01); G06F 9/546 (2013.01); G06F 9/547 (2013.01); G06F 2209/501 (2013.01); G06F 2209/508 (2013.01); G06F 2209/5022 (2013.01); G06N 20/00 (2019.01);
Abstract

Various embodiments of the present disclosure provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for determining optimized solutions to input problems in a containerized, cloud-based (e.g., serverless) manner using multiple solver types. In one embodiment, an example method involves receiving a problem type of an input problem originating from a client computing entity, mapping the problem type to one or more selected solver types, generating one or more container instances of one or more compute containers with each compute container corresponding to a selected solver type, generating a problem output using the one or more container instances, and providing the problem output to the client computing entity, where the problem output includes an optimized solution to the input problem that can be used to perform one or more prediction-based actions.


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