End-to-end demos run on Ambiq evaluation boards, trained and deployed with our ADKs, integrated with front-end sensors, and built using the neuralSPOT SDK. These demos demonstrate that advanced models can operate in real time on battery power—showcasing Apollo’s ultra-low-energy performance.
See how ultra-low power AI performs in real-world applications—and partner with Ambiq to bring battery-powered intelligence to your products.
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Conference Session on Hardware-Optimized Edge AI Runtimes Scheduled for March 10, 10:30–11:00 a.m in the Exhibitor Forum, Hall 3-611 …
Join Ambiq at Future Electronics ANZ Tech-Fest 2026 as we showcase the latest innovations in ultra-low power Edge AI across two Australian cities. …
The demos cover a variety of applications, including speech enhancement, health monitoring, sensor intelligence, wearable devices, and real-time on-device AI processing.
The AI Demos run on Ambiq evaluation boards powered by the Apollo family of ultra-low-power SoCs and supported by Ambiq development tools and software frameworks.
Each demo shows how AI models can process data directly on-device, enabling real-time insights and decision-making without relying on continuous cloud connectivity.
Yes. Many AI Demos are built using Ambiq’s development ecosystem, including the neuralSPOT SDK and related software resources available to developers.
AI Demos help developers evaluate performance, power efficiency, hardware integration, and deployment strategies before building commercial edge AI products.
Yes. The demos are designed to showcase how AI applications can operate efficiently on battery-powered devices while maintaining low energy consumption and responsive performance.
By providing proven reference implementations and practical examples, AI Demos help developers reduce development time, validate concepts faster, and bring edge AI solutions to market more efficiently.