Invention Grant
- Patent Title: Neural networks and systems for decoding encoded data
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Application No.: US16233576Application Date: 2018-12-27
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Publication No.: US11599773B2Publication Date: 2023-03-07
- Inventor: Fa-Long Luo , Jaime Cummins , Tamara Schmitz
- Applicant: MICRON TECHNOLOGY, INC.
- Applicant Address: US ID Boise
- Assignee: MICRON TECHNOLOGY, INC.
- Current Assignee: MICRON TECHNOLOGY, INC.
- Current Assignee Address: US ID Boise
- Agency: Dorsey & Whitney LLP
- Main IPC: G06N3/04
- IPC: G06N3/04 ; H03M13/15 ; H03M13/11 ; G06K9/62 ; G06F17/18 ; G06N3/08

Abstract:
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.
Public/Granted literature
- US20200210816A1 NEURAL NETWORKS AND SYSTEMS FOR DECODING ENCODED DATA Public/Granted day:2020-07-02
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