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US Patent 12020163 Knowledge persistent and structurally dynamic neural network

Patent 12020163 was granted and assigned to Bank of America on June, 2024 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Bank of America
Bank of America
1
Current Assignee
Bank of America
Bank of America
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
120201631
Patent Inventor Names
Garrett Thomas Botkin1
Matthew Bruce Murray1
Date of Patent
June 25, 2024
1
Patent Application Number
167816561
Date Filed
February 4, 2020
1
Patent Citations
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US Patent 7895641 Method and system for dynamic network intrusion monitoring, detection and response
1
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US Patent 8156057 Adaptive neural network utilizing nanotechnology-based components
1
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US Patent 8630966 Temporally dynamic artificial neural networks
1
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US Patent 8762306 Neural network for glucose therapy recommendation
1
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US Patent 8874496 Encoding and decoding machine with recurrent neural networks
1
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US Patent 9798751 Method and apparatus for constructing a neuroscience-inspired artificial neural network
1
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US Patent 10686869 Tool for investigating the performance of a distributed processing system
1
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US Patent 10043129 Functional assessment of a network
1
...
Patent Primary Examiner
‌
Kamran Afshar
1
CPC Code
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G06N 3/063
1
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G06N 3/04
1
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G06N 3/084
1
Patent abstract

A method includes receiving a request to solve a problem defined by input information and applying a neural network to generate an answer to the problem. The neural network includes an input level, a manager level including a first manager, a worker level including first and second workers, and an output level. Applying the neural network includes implementing the input level to provide a piece of input information to the first manager; implementing the first manager to delegate portions of the piece of information to the first and second workers; implementing the first worker to operate on its portion of information to generate a first output; implementing the second worker to operate on its portion of information to generate a second output; and implementing the output level to generate the answer to the problem, using the first and second outputs. The method also includes transmitting a response comprising the answer.

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