Invention Grant
- Patent Title: Memory including examples of calculating hamming distances for neural network and data center applications
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Application No.: US17016074Application Date: 2020-09-09
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Publication No.: US11636285B2Publication Date: 2023-04-25
- Inventor: David Hulton , Jeremy Chritz , 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: G06V10/00
- IPC: G06V10/00 ; G06K9/62 ; G06F9/30 ; G06N3/08

Abstract:
Examples of systems and method described herein provide for the processing of image codes (e.g., a binary embedding) at a memory die. Such images codes may generated by various endpoint computing devices, such as Internet of Things (IoT) computing devices, Such devices can generate a Hamming processing command, having an image code of the image, to compare that representation of the image to other images (e.g., in an image dataset) to identify a match or a set of neural network results. Advantageously, examples described herein may be used in neural networks to facilitate the processing of datasets, so as to increase the rate and amount of processing of such datasets. For example, comparisons of image codes can be performed on a memory die itself, like a memory die of a NAND memory device.
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