Invention Grant
- Patent Title: Method for dynamically reconfiguring machine learning models
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Application No.: US16593853Application Date: 2019-10-04
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Publication No.: US11132687B2Publication Date: 2021-09-28
- Inventor: Fangfang Fu , Ajay Raman Rayapati , Yu Gu
- Applicant: Visa International Service Association
- Applicant Address: US CA San Francisco
- Assignee: Visa International Service Association
- Current Assignee: Visa International Service Association
- Current Assignee Address: US CA San Francisco
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06Q40/00
- IPC: G06Q40/00 ; G06Q20/40 ; G06F16/901 ; G06N20/00

Abstract:
Systems and methods of reconfiguring machine learning models are disclosed. A method includes receiving, by a server computer, external data and determining, by the server computer, a machine learning model from a plurality of machine learning models, based on the external data. The plurality of machine learning models are in standby mode. The server computer configures an AI engine with the machine learning model. The method also includes receiving, by the server computer, a prediction request from a client computer, processing the prediction request with the AI engine to form a prediction response, and sending the prediction response to the client computer.
Public/Granted literature
- US20210103930A1 METHOD FOR DYNAMICALLY RECONFIGURING MACHINE LEARNING MODELS Public/Granted day:2021-04-08
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