aNibble, the most energy-efficient AI-based chip for earwear devices

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INNOSUISSE

Project number

PFSA-22-121

Project title

aNibble, the most energy-efficient AI-based chip for earwear devices

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Short description (English)	We are developing the Adaptiva-Nibble (aNibble) chip, designed to deliver up to 50x better computing efficiency than state-of-the-art for consumer wearable devices such as earwear and fitness bands. This unique value proposition enables disruptive innovations in our target applications of earwear and fitness bands, such as context detection, audio fingerprint recognition, gait analysis, interpretation, and more.

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Short description
(English)

We are developing the Adaptiva-Nibble (aNibble) chip, designed to deliver up to 50x better computing efficiency than state-of-the-art for consumer wearable devices such as earwear and fitness bands. This unique value proposition enables disruptive innovations in our target applications of earwear and fitness bands, such as context detection, audio fingerprint recognition, gait analysis, interpretation, and more.