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US Patent 11914977 Translating text encodings of machine learning models to executable code

Patent 11914977 was granted and assigned to SparkCognition on February, 2024 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
SparkCognition
SparkCognition
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Current Assignee
SparkCognition
SparkCognition
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119149770
Patent Inventor Names
Jarred Capellman0
Date of Patent
February 27, 2024
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Patent Application Number
175620970
Date Filed
December 27, 2021
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Patent Citations
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US Patent 11410646 Processing complex utterances for natural language understanding
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US Patent 7434213 Portable executable source code representations
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US Patent 8660018 Machine learning approach for estimating a network path property
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Patent Primary Examiner
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Jae U Jeon
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CPC Code
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G06F 8/41
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Patent abstract

Translating text encodings of machine learning models to executable code, the method comprising: receiving a text encoding of a machine learning model; generating, based on the text encoding of the machine learning model, compilable code encoding the machine learning model; and generating, based on the compilable code, executable code encoding the machine learning model.

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