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US Patent 10311058 Techniques for processing neural queries

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Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103110580
Patent Inventor Names
Manoj Prasanna Kumar0
Date of Patent
June 4, 2019
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Patent Application Number
160290870
Date Filed
July 6, 2018
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Patent Citations Received
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US Patent 12130863 Artificial intelligence system for efficient attribute extraction
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US Patent 11562011 Incorporating data into search engines using deep learning mechanisms
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US Patent 10846588 Scalable and compressive neural network data storage system
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US Patent 11966840 Deep probabilistic decision machines
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US Patent 11983617 Scalable and compressive neural network data storage system
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US Patent 10516735 Internet of things
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US Patent 10516736 Internet of things
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US Patent 10542094 Internet of things
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Patent Primary Examiner
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Syed H Hasan
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Patent abstract

Approaches, techniques, and mechanisms are disclosed for generating, enhancing, applying and updating knowledge neurons for providing decision making information to a wide variety of client applications. Domain keywords for knowledge domains are generated from domain data of selected domain data sources, along with keyword values for the domain keywords, and are used to generate knowledge artifacts for inclusion in knowledge neurons. These knowledge neurons may be enhanced by domain knowledge data sets found in various data sources and used to generate neural responses to neural queries received from the client applications. Neural feedbacks may be used to update and/or generate knowledge neurons. Any ML algorithm can use, or operate in conjunction with, a neural knowledge artifactory comprising the knowledge neurons to enhance or improve baseline accuracy, for example during a cold start period, for augmented decision making and/or for labeling data points or establishing ground truth to perform supervised learning.

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