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. 20, 2023

Filed:

Dec. 23, 2021
Applicant:

Sway Ai Inc., Chelmsford, MA (US);

Inventors:

Jitender Arora, Westford, MA (US);

Amir H. Atai, New Boston, NH (US);

Michael Piecuch, Cary, NC (US);

Hassan Ahmed, Concord, MA (US);

Assignee:

Sway AI Inc., Chelmsford, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06F 9/445 (2018.01); G06F 16/22 (2019.01); G06F 9/455 (2018.01); G06F 8/60 (2018.01); G06F 9/48 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 8/60 (2013.01); G06F 9/4881 (2013.01); G06N 20/00 (2019.01);
Abstract

According to some aspects, techniques are provided for building and deploying a machine learning application that do not require a user to have expert knowledge of machine learning or programming. These techniques may be executed by a system that provides a graphical user interface which allows a user to visually define a workflow for a machine learning application, without requiring the user to be an expert in machine learning. The system may automatically represent the workflow as a specification that may be used to build and deploy a machine learning application. The system may automatically execute the workflow in a series of stages while managing data flow and execution context between the stages. Such an execution process may provide flexibility in execution so that a user can build a complex machine learning application without it being necessary for the user to have detailed knowledge of how execution is managed.


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