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US Patent 9659249 Pre-programmed resistive cross-point array for neural network

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Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
96592491
Patent Inventor Names
Matthew W. Copel1
Date of Patent
May 23, 2017
1
Patent Application Number
152772641
Date Filed
September 27, 2016
1
Patent Citations Received
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US Patent 11855149 Field effect transistor with controllable resistance
2
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US Patent 12112200 Pipeline parallel computing using extended memory
3
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US Patent 12015056 Field effect transistor with controllable resistance
4
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US Patent 11705196 Auto-calibrating crossbar-based apparatuses
5
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US Patent 11875249 Counter based resistive processing unit for programmable and reconfigurable artificial-neural-networks
6
Patent Primary Examiner
‌
Sheng Zhu
1
Patent abstract

Technical solutions are described for forming a semiconductor device for a crosspoint array that implements a pre-programmed neural network. An example method includes sequentially depositing a semiconducting layer, a top insulating layer, and a shunting layer onto a base insulating layer. The method further includes etching selective portions of the top insulating layer corresponding to resistance values associated with weights of the crossbar that implements the neural network.

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