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US Patent 11606265 Network control in artificial intelligence-defined networking

Patent 11606265 was granted and assigned to World Wide Technology on March, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
World Wide Technology
World Wide Technology
Current Assignee
World Wide Technology
World Wide Technology
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11606265
Date of Patent
March 14, 2023
Patent Application Number
17162719
Date Filed
January 29, 2021
Patent Citations
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US Patent 10187413 Network-based approach for training supervised learning classifiers
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US Patent 10102474 Event-based neural network with hierarchical addressing for routing event packets between core circuits of the neural network
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US Patent 10142909 Artificial intelligence-augmented, ripple-diamond-chain shaped rateless routing in wireless mesh networks with multi-beam directional antennas
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US Patent 10153978 Distributed anticipatory bidirectional packet steering for software network functions
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US Patent 10666547 Efficient machine learning for network optimization
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US Patent 10681435 Method and apparatus for optimizing dynamically the operation of an optical network
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US Patent 10686669 Collecting network models and node information from a network
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US Patent 10693740 Data transformation of performance statistics and ticket information for network devices for use in machine learning models
...
Patent Primary Examiner
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Patrice L Winder
CPC Code
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H04L 45/64
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H04L 41/145
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H04L 41/0843
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H04L 45/02
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H04L 45/08
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H04L 41/147
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H04L 41/16

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, perform certain acts. The acts can include receiving a deployment model selection of a software-defined-network (SDN) control service. The deployment model selection includes one of a centralized model, a decentralized model, a distributed model, or a hybrid model. The acts also can include deploying the SDN control service in the deployment model selection to control a physical computer network. The SDN control service uses a routing agent model trained using a reinforcement-learning model. Other embodiments are described.

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