neuralSPOT

Edge AI Made Easy

neuralSPOT is an open-source, real-time, OS-agnostic SDK for Ambiq’s Apollo SoCs—now with first-class runtime support: TFLM, HeliaRT, and HeliaAOT.

Design Resources

Highlights

01

Accessible

Open source, OS-agnostic, and real-time AI development toolkit built to streamline AI development with Ambiq’s range of ultra-low power SoCs.

02

Customizable

Everything the developer needs to develop, modify, train, and deploy sophisticated features on the Apollo family of SoCs.

03

Easy Prototyping

Deploy, Fine Tune, and Profile AI models on all Ambiq development boards.

04

Seamless Prototyping

neuralSPOT streamlines AI features with simple app code, straightforward device I/O, and plug-and-play PC integration.

heartKIT

Detect heart statistics and conditions based on ECG sensor readings
Heart Rate, HRV, Afib detection
More added regularly

physioKIT

Optical-sensor based health statistics
SPO2, Heart Rate, Afib, cuff-less blood pressure monitoring

sleepKIT

Real-time: Inference is performed in real-time on battery-powered, edge devices
Efficient: Leverage modern AI techniques coupled with Ambiq's ultra-low power SoCs
Extensible: Easily add new tasks, models, and datasets to the framework
Accurate: Achieve SoTA results with stringent resource constraints

Keyword Spotting

Detect pre-programmed phrase (e.g. “OK computer”)

Speech-to-Intent

Detects intent in spoken phrases
An intent is an action performed on an object
“Turn on lights in kitchen”
Phrase can be spoken in many forms

Speech Enhancement

Eliminates background noise such as leaf-blowers, music, and restaurant noise from speech
Can be used to increase intelligibility and improve speech recognition accuracy

Speaker ID

Identifies speech belonging to a specific individual
Supports multiple individuals
Can be trained on new individuals on-device

Where to Buy

Apollo510 SoC, BGA

Apollo4 Blue Lite SoC

Apollo3 Blue Plus SoC

Apollo4 Blue Plus SoC

Apollo3 Blue Thin

Video Library

Support Library

Instant download

Apollo-SoC-Selector-Guide

pdf0.5Mb

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