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US Patent 12081646 Adaptively controlling groups of automated machines

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120816460
Patent Inventor Names
Kenneth Austin Abeloe0
Date of Patent
September 3, 2024
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Patent Application Number
170744640
Date Filed
October 19, 2020
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Patent Citations
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US Patent 10872433 Vehicle environment modeling with a camera
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US Patent 11080809 Hiding information and images via deep learning
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US Patent 7010513 Software engine for multiple, parallel processing with neural networks
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US Patent 7063476 Liquid dispensing applicator
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US Patent 7472097 Employee selection via multiple neural networks
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US Patent 7800490 Electronic article surveillance system neural network minimizing false alarms and failures to deactivate
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US Patent 7979173 Autonomous vehicle travel control systems and methods
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US Patent 8677071 Control of processor cache memory occupancy
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Patent Primary Examiner
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Li Wu Chang
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CPC Code
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G06N 3/063
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G06N 3/08
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G06K 9/6215
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G06N 3/0445
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G06F 21/55
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H04L 9/006
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G06K 9/62
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G06N 3/04
0
Patent abstract

Methods and systems that allow neural network systems to control adaptively groups of automated machines to achieve a common goal. In particular, a number of automated machines can be divided into multiple groups. Each group having one or more automated machines, and the automated machines belong to each group is to use an identical neural network (that is, having the same neural network structure and the same set of coefficients). As the groups of automated machines operate to achieve the common goal, some groups may perform better compared with other groups. If so, the neural network of the better performing group is copied to automated machines in other groups to ensure more automated machines also improve the results in achieving the common goal.

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