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

Schrift Standard Fett
Login

Projektsuche
Aktuelles Projekt
Neuste Projekte
Grafiken
Login

Forschungsstelle

INNOSUISSE

Projektnummer

PFSA-22-121

Projekttitel

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

Projekttitel Englisch

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

Grunddaten
Texte
Beteiligte
Kategorien

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Kurzbeschreibung	-	-	-

Erfasste Texte

Kategorie	Text
Kurzbeschreibung (Englisch)	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.

Kategorie

Text

Kurzbeschreibung
(Englisch)

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.