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US Patent 10726374 Risk prediction based on automated analysis of documents

Patent 10726374 was granted and assigned to ICERTIS, Inc. on July, 2020 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
Current Assignee
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ICERTIS, Inc.
Date Filed
February 19, 2019
Date of Patent
July 28, 2020
Patent Applicant
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ICERTIS, Inc.
Patent Application Number
16279974
Patent Citations Received
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US Patent 12136030 System and method for adapting a neural network model on a hardware platform
0
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US Patent 11481584 Efficient machine learning (ML) model for classification
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US Patent 11494720 Automatic contract risk assessment based on sentence level risk criterion using machine learning
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US Patent 11526785 Predictability-driven compression of training data sets
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US Patent 11537811 Enhanced object detection for autonomous vehicles based on field view
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US Patent 12086097 Vector computational unit
0
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US Patent 12105728 Extensible data objects for use in machine learning models
0
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US Patent 11487288 Data synthesis for autonomous control systems
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US Patent 11561791 Vector computational unit receiving data elements in parallel from a last row of a computational array
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US Patent 11562231 Neural networks for embedded devices
•••
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10726374
Patent Primary Examiner
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Alan S Miller

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