Micron Technology, Inc.
Neural networks and systems for decoding encoded data

Last updated:

Abstract:

Examples described herein utilize multi-layer neural networks to decode encoded data (e.g., data encoded using one or more encoding techniques). The multi-layer neural networks include an encoder configured to encode input data using encoded bits in accordance with an encoding technique and to provide encoded input data, and a memory configured to receive the encoded input data from the encoder and configured to store the encoded input data. The multi-layer neural networks further include combiners configured to receive the encoded input data from the memory and further configured to combine the encoded input data among a set of predetermined weights. The combiners are further configured to provide encoded data with reduced noise, the noise introduced by the memory.

Status:
Grant
Type:

Utility

Filling date:

3 Apr 2020

Issue date:

16 Aug 2022