Invention Grant
- Patent Title: Self-powered analog computing architecture with energy monitoring to enable machine-learning vision at the edge
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Application No.: US16829774Application Date: 2020-03-25
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Publication No.: US11599782B2Publication Date: 2023-03-07
- Inventor: Aatmesh Shrivastava
- Applicant: Northeastern University
- Applicant Address: US MA Boston
- Assignee: Northeastern University
- Current Assignee: Northeastern University
- Current Assignee Address: US MA Boston
- Agency: Foley Hoag LLP
- Agent Dana M. Gordon; Erik A. Huestis
- Main IPC: G06N3/063
- IPC: G06N3/063 ; H03F3/45 ; G06K9/62 ; G06N3/08 ; G06G7/16 ; G06N3/04

Abstract:
An analog computing method includes the steps of: (a) generating a biasing current (IWi) using a constant gm bias circuit operating in the subthreshold region for ultra-low power consumption, wherein gm is generated by PMOS or NMOS transistors, the circuit including a switched capacitor resistor; and (b) multiplying the biasing current by an input voltage using a differential amplifier multiplication circuit to generate an analog voltage output (VOi). In one or more embodiments, the method is used in a vision application, where the biasing current represents a weight in a convolution filter and the input voltage represents a pixel voltage of an acquired image.
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