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RECHO technology 

The technology backing RECHO exploits the non-linear oscillations effects within the sensing mechanisms of microphone or other sensors to directly extract features of time series signals to minimize the computing the AI requirement. As such, computing power hungry machine learning training and inference could be operated purely on battery powered devices (i.e., Google Home, Apple Homepod, Amazon Alexa, and any IoT nodes) locally using very limited samples without the need cloud-based data center and high performance computers. The computing system is 100% respecting privacy and can be deployed without regulation requirement.

The Physical Reservoir (PR)

The physical reservoir is mapping the 1D time series signal into a features enriched signal with its intrinsic non-linear and resonances effects and interpret with a simple ML model.

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Standard transducer

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Standard waveform

RECHO AI transducer

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RECHO AI featured waveform

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Montreal, QC, Canada

H4C2K1

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