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US Patent 11599773 Neural networks and systems for decoding encoded data

Patent 11599773 was granted and assigned to Micron Technology on March, 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
Micron Technology
Micron Technology
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Current Assignee
Micron Technology
Micron Technology
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
115997730
Date of Patent
March 7, 2023
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Patent Application Number
162335760
Date Filed
December 27, 2018
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Patent Citations
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US Patent 10812449 Method for generating a domain name using a learned information-rich latent space
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US Patent 11196992 Method and apparatus of neural network based processing in video coding
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US Patent 11088712 Iterative decoder performance prediction using machine learning
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US Patent 10176802 Lattice encoding using recurrent neural networks
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US Patent 10400928 End connector for high pressure reinforced rubber hose
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US Patent 10552738 Adaptive channel coding using machine-learned models
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US Patent 10698657 Hardware accelerator for compressed RNN on FPGA
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US Patent 10749594 Learning-based space communications systems
Patent Citations Received
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US Patent 12095479 Recurrent neural networks and systems for decoding encoded data
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US Patent 11973513 Decoders and systems for decoding encoded data using neural networks
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Patent Primary Examiner
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Kyle Vallecillo
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CPC Code
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H03M 13/1102
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H03M 13/1515
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H03M 13/152
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G06N 3/08
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G06N 3/0472
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G06F 17/18
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G06K 9/6223
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Examples described herein utilize multi-layer neural networks to decode encoded data (e.g., data encoded using one or more encoding techniques). The neural networks have nonlinear mapping and distributed processing capabilities which are advantageous in many systems employing the neural network decoders. In this manner, neural networks described herein are used to implement error code correction (ECC) decoders.

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