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US Patent 12112267 Learning in time varying, dissipative electrical networks

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
121122670
Patent Inventor Names
Jack David Kendall0
Date of Patent
October 8, 2024
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Patent Application Number
180771840
Date Filed
December 7, 2022
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Patent Citations
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US Patent 10643694 Partial-polarization resistive electronic devices, neural network systems including partial-polarization resistive electronic devices and methods of operating the same
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US Patent 11468145 Storage of input values within core of neural network inference circuit
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US Patent 8675391 Refreshing memristive systems
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US Patent 10127494 Neural network crossbar stack
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US Patent 10198691 Memristive nanofiber neural networks
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US Patent 10290801 Scalable silicon based resistive memory device
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US Patent 10332004 Memristive neuromorphic circuit and method for training the memristive neuromorphic circuit
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US Patent 10515312 Neural network model compaction using selective unit removal
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Patent Primary Examiner
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Vincent Gonzales
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Patent abstract

A method for performing learning in a dissipative learning network is described. The method includes determining a trajectory for the dissipative learning network and determining a perturbed trajectory for the dissipative learning network based on a plurality of target outputs. Gradients for a portion of the dissipative learning network are determined based on the trajectory and the perturbed trajectory. The portion of the dissipative learning network is adjusted based on the gradients.

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