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Voice wake-up

For Power Efficient Wireless Sensing, Start with Analog Processing

For Power Efficient Wireless Sensing, Start with Analog Processing

Ed Brown of Tech Briefs writes about the benefits of early analog feature extraction for always-on sensing applications Read more

Everybody is Talking: Keeping our Voice Data Private

Everybody is Talking: Keeping our Voice Data Private

Learn how analog ML is enabling a new edge processing architecture that improves user privacy in battery-powered, always-listening devices Read more

Aspinity Demonstrates the World's First Ultra-Low-Power Analog Voice Wake-Up IC for Battery Operated Devices

Aspinity Demonstrates the World's First Ultra-Low-Power Analog Voice Wake-Up IC for Battery Operated Devices

Aspinity has demonstrated the world's most power-efficient end-to-end voice wake-up solutions for voice-first devices using two popular STMicroelectronics microcontrollers and the Sensory wake word engine. Read more

Take Voice First to the Edge

Take Voice First to the Edge

Aspinity CEO Tom Doyle explains how an analyze-first approach to voice wake-up preserves user privacy by enabling more localized intelligence and sending only the relevant data to the cloud. Read Tom's full article in Electronic Products Read more

Neuromorphic Computing Rethinks AI Chip Design

Neuromorphic Computing Rethinks AI Chip Design

Nanalyze.com reviews AI chip design, the benefits of neuromorphic processing for low-power edge computing, and key players in this space. Read more

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