Invention Grant
- Patent Title: Analog neural network systems
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Application No.: US16844551Application Date: 2020-04-09
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Publication No.: US11748608B2Publication Date: 2023-09-05
- Inventor: John Paul Lesso
- Applicant: Cirrus Logic International Semiconductor Ltd.
- Applicant Address: GB Edinburgh
- Assignee: Cirrus Logic Inc.
- Current Assignee: Cirrus Logic Inc.
- Current Assignee Address: US TX Austin
- Agency: Jackson Walker L.L.P
- Main IPC: G06N3/06
- IPC: G06N3/06 ; G06N3/065 ; G06N3/04 ; G11C13/00

Abstract:
The present disclosure relates to a neural network system comprising: a data input configured to receive an input data signal and analog neural network circuitry having an input coupled with the data input. The analog neural network circuitry is operative to apply a weight to a signal received at its input to generate a weighted output signal. The neural network system further comprises compensation circuitry configured to apply a compensating term to the input data signal to compensate for error in the analog neural network circuitry.
Public/Granted literature
- US20200380350A1 ANALOG NEURAL NETWORK SYSTEMS Public/Granted day:2020-12-03
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