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AI Demos for Real-World Edge AI Applications

Ultra-Low Power in Action

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Explore end-to-end AI demonstrations running on Ambiq evaluation boards, built with Ambiq Development Kits and the neuralSPOT SDK. These real-world demos showcase speech, health, and sensor intelligence applications operating in real time on battery-powered devices, highlighting the performance, efficiency, and ultra-low-power capabilities of Ambiq’s SPOT SoCs.

Key Features of AI Demos

01

End-to-End, On-Device

Trained and deployed with Ambiq ADKs, wired to front-end sensors, and built with neuralSPOT firmware—real-time inference running entirely on the board.

02

Ultra-Low-Power

Advanced models on battery power. Each demo is tuned to showcase Apollo’s minimal latency, small footprint, and ultra-efficient energy use.

03

Open Source on GitHub

All demo code, ADK recipes, and neuralSPOT firmware are open-source—clone, fork, and customize. Contribute, report issues, and reuse in your product workflow.

04

Powerful Dashboards

Tileio brings live charts, interactive tiles, and device controls together—right in your browser. Connect via WebUSB/ WebBLE, tweak parameters, and visualize results in real time—no installs, no drivers.

Available Demos

Speech Enhancing Demo

  • NNSE is Ambiq’s AI speech denoiser, a real-time model that removes background noise (such as hair-dryer noise) from human speech.

PPG Codec Demo

  • Ambiq’s PPG Codec demo is a real-time AI model that compresses PPG data up to 16× while preserving signal quality, enabling longer battery life and continuous monitoring in smartwatches, smart rings, fitness bands, and remote patient devices.

Build the Future of Edge AI

See how ultra-low power AI performs in real-world applications—and partner with Ambiq to bring battery-powered intelligence to your products.

Video Library

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Frequently Asked Questions (FAQ)

  • Ambiq AI Demos are real-world demonstrations that showcase how advanced AI models can run efficiently on ultra-low-power edge devices using Ambiq’s hardware and software platforms. 

  • 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. 

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