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Search Patents by Andrew Dienstfrey

Patents listed here reflect only technologies patented from FY 2018-present. To view all of NIST's patented technologies, visit the NIST pages on the Federal Laboratory Consortium website.

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The figure illustrates a system for parameter multiplexed gradient descent in accordance with embodiments of the present invention.

System And Method For Parameter Multiplexed Gradient Descent

NIST Inventors

Adam McCaughan , Sonia Buckley and Andrew Dienstfrey

Parameter multiplexed gradient descent (PMGD) is a machine learning training method designed to easily train emergent non-volatile memory and neuromorphic hardware platforms.

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