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:
Jan. 31, 2023

Filed:

Aug. 11, 2020
Applicant:

Paypal, Inc., San Jose, CA (US);

Inventors:

Joydeep Hazra, Bangalore, IN;

Harshith Thonupunoori, Warangal, IN;

Md Faiz Alam, Bangalore, IN;

Rajendra Bhat, Bangalore, IN;

Santosh Bharamasagar Chandrasekharappa, Bangalore, IN;

Sourav Kumar, Bihar, IN;

Vijayent Kohli, Bangalore, IN;

Assignee:

PAYPAL, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06F 11/14 (2006.01); G06Q 20/40 (2012.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 11/1476 (2013.01); G06F 11/1482 (2013.01); G06F 2201/805 (2013.01); G06Q 20/4016 (2013.01);
Abstract

There are provided systems and methods for a fallback artificial intelligence (AI) system for redundancy during system failover. A service provider may provide AI systems for automated decision-making, such as for risk analysis, marketing, and the like. An AI system may operate in a production computing environment in order to provide AI decision-making based on input data, for example, by providing an output decision. In order to provide redundancy to the production AI system, the service provider may train a fallback AI system using the input/output data pairs from the production AI system. This may utilize a deep neural network and a continual learning trainer. Thereafter, when a failover condition is detected for the production AI system, the service provider may switch from the production AI system to the fallback AI system, which may provide decision-making operations during failure of within the production computing environment.


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