Edge AI at Ambiq
Ambiq specializes in ultra-low-power SoCs designed to make intelligent battery-powered endpoint solutions a reality. Edge is pervasive, and many edge devices incorporate AI features, including fitness activity recognition, speech-driven user interfaces, audio event detection, health monitoring, and more.
Ambiq's ultra low power, high-performance platforms are ideal for implementing this class of AI features, and we at Ambiq are dedicated to making implementation as easy as possible by offering developer-centric solutions for every stage of AI development.
Develop Edge AI Faster with Ambiq
Ambiq offers AI Development Kits and libraries to ease your Edge AI development and accelerate time-to-deploy. These include:
| Component | Description |
|---|---|
| neuralSPOT Edge | Modular components to simplify training Edge AI models via Keras |
| PhysioKIT | Python toolkit for processing raw ambulatory bio-signals |
| HeartKIT | Heart Health AI SDK |
| SoundKIT | Speech and Sound AI SDK |
| SleepKIT | Sleep Monitoring AI SDK |
Deploy and Optimize with Ambiq
Once a model is ready to be deployed, Ambiq offers tools to help: neuralSPOT SDK includes firmware and tools to deploy, profile, and optimize Edge AI models on Apollo EVBs.
| Component | Description |
|---|---|
| neuralSPOT SDK | Firmware libraries and examples for all Ambiq platforms |
| neuralSPOT Autodeploy | Tools to deploy TFLite models onto Ambiq platforms |
| neuralSPOT Profiler (part of autodeploy) | TFLite model execution per-layer firmware analytics |
| neuralSPOT Analyzer (part of autodeploy) | Static analysis of TFLite models to identify unoptimized paths |
Run Edge AI Faster
Ambiq's version of Tensorflow Lite for Microcontrollers is optimized for Apollo devices, and is included in neuralSPOT SDK. The optimized kernel source is available to our customers upon request.