Memory including examples of calculating hamming distances for neural network and data center applications
AssigneeMicron Technology, Inc.
InventorsDavid Hulton, Jeremy Chritz, Tamara Schmitz
Life of this patent
Estimating the term…
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AssigneeMicron Technology, Inc.
InventorsDavid Hulton, Jeremy Chritz, Tamara Schmitz
Estimating the term…
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.
A method comprising:
A memory comprising:
An apparatus comprising:
Dependencies are inferred from the claim text.