Current-mode analog multiply-accumulate circuits for artificial intelligence

Analog multipliers can perform signal processing with approximate precision asynchronously (clock free) and with low power consumptions, which can be advantageous including in emerging mobile and portable artificial intelligence (AI) and machine learning (ML) applications near or at the edge and or...

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Bibliographic Details
Main Author Far, Ali Tasdighi
Format Patent
LanguageEnglish
Published 15.03.2022
Subjects
AMPLIFIERS
ANALOGUE COMPUTERS
BASIC ELECTRONIC CIRCUITRY
CALCULATING
CODE CONVERSION IN GENERAL
CODING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONTROL OF AMPLIFICATION
CONTROLLING
COUNTING
DECODING
ELECTRICITY
PHYSICS
REGULATING
SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
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Summary:Analog multipliers can perform signal processing with approximate precision asynchronously (clock free) and with low power consumptions, which can be advantageous including in emerging mobile and portable artificial intelligence (AI) and machine learning (ML) applications near or at the edge and or near sensors. Based on low cost, mainstream, and purely digital Complementary-Metal-Oxide-Semiconductor (CMOS) manufacturing process, the present invention discloses embodiments of current-mode analog multipliers that can be utilized in multiply-accumulate (MAC) signal processing in end-application that require low cost, low power consumption, (clock free) and asynchronous operations.
Bibliography:Application Number: US201916730539