- Patent Title: Analog to digital converter using memristors in a neural network
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Application No.: US15931690Application Date: 2020-05-14
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Publication No.: US11720785B2Publication Date: 2023-08-08
- Inventor: Loai Danial , Shahar Kvatinsky
- Applicant: Technion Research & Development Foundation Limited
- Applicant Address: IL Haifa
- Assignee: Technion Research & Development Foundation Limited
- Current Assignee: Technion Research & Development Foundation Limited
- Current Assignee Address: IL Haifa
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06N3/08 ; G11C11/54 ; G06N3/02 ; G06N3/04

Abstract:
An analog to digital converter comprises an input for receiving an analog input signal; a plurality of outputs for outputting parallel bits of a digital signal that represents said analog input signal; and a neural network layer providing connections between each of said outputs respectively, each connection having an adjustable weighting. The synapses of the neural networks may be memristors and training may use online gradient descent.
Public/Granted literature
- US20200272893A1 ANALOG TO DIGITAL CONVERTER USING MEMRISTORS IN A NEURAL NETWORK Public/Granted day:2020-08-27
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