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US Patent 11636346 Recurrent neural circuits

Patent 11636346 was granted and assigned to Brown University on April, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Brown University
Brown University
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Current Assignee
Brown University
Brown University
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
116363460
Date of Patent
April 25, 2023
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Patent Application Number
168683920
Date Filed
May 6, 2020
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Patent Citations
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US Patent 11164066 Generating parameter values for recurrent neural networks
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US Patent 10431210 Implementing a whole sentence recurrent neural network language model for natural language processing
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US Patent 11093819 Classifying objects using recurrent neural network and classifier neural network subsystems
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US Patent 11144813 Recurrent neural networks to predict user requests
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US Patent 11270185 Methods, systems, and computer program product for generating a personalized flow for a software delivery model
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Patent Primary Examiner
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Dhaval V Patel
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CPC Code
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G06N 3/063
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G06N 3/084
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G06N 3/0445
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G06N 3/0454
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G06N 3/0481
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A method includes providing a computer system, the computer system including at least a processor and a memory, the memory including at least an operating system, executing a process in the memory, the process including providing a recurrent circuit model, and converting the recurrent circuit model into a recurrent neural network that can be fit with gradient descent.

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