METHOD AND SYSTEM FOR IN-LINE DATA CONVERSION AND DATA MANIPULATION
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United States of America
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Issued Date -
Apr 3, 2025
app pub date -
Oct 27, 2023
filing date -
Oct 27, 2023
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Abstract
A machine learning (ML) hardware includes a first data format conversion block configured to receive data generated by an application source in a first data format. The first data format conversion block is configured to convert the received data from the first data format into a second data format. The first data format is different from the second data format. The ML hardware includes a plurality of processing units configured to perform one or more ML operations on the data in the second data format to generate a processed data. The ML hardware includes a second data format conversion block configured to convert the processed data to a third data format. The ML hardware further includes a transmitting component configured to output the processed data in the third data format to a memory component for use by an application destination.
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