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AI toolkit supports SiLabs SoC AI accelerated SoCs

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By Rich Pell


The MG24 and BG24 are noteworthy, says the company, for their inclusion of a specialized AI accelerator and co-optimized TensorFlow library as part of these Matter-ready wireless SoCs for IoT edge applications. With support for the MG24 and BG24 AI accelerator, the company can deliver highly optimized performance up to 4x faster at one sixth the power for applications that utilize the TensorFlow Lite neural network classifier engine – attributes that are particularly valuable for audio, high data-rate sensors, and battery-powered IoT sensor applications.

The SensiML Analytics Toolkit provides a complete solution for creating AI/ML based designs targeted for intelligent IoT devices. The toolkit complements the AI acceleration capabilities built into the Silicon Labs MG24 and BG24 SoCs – allowing developers to quickly create sophisticated, low power intelligent IoT endpoints. Applications that can particularly benefit from the combined SensiML and Silicon Labs solution include acoustic event detection, motion analysis, gesture and keyword recognition, anomaly detection, and predictive maintenance.

“Both compute-intensive and battery-powered IoT applications will gain advantages from this partnership effort,” says Chris Rogers, chief executive officer at SensiML “In both cases the processing will execute more quickly, delivering faster results and simultaneously saving power.”

The latest version of the SensiML Analytics Toolkit includes optimizations to support the AI accelerator core in the SiLabs MG24 and BG24 Series 2 Bluetooth wireless SoCs as part of SensiML toolkit custom Knowledge Packs. These Knowledge Packs can be readily integrated into customized firmware applications and can be generated in binary, library, and full C source code formats.

Also included in the latest SensiML release is support for the Silicon Labs EFR32xG24 Dev Kit (xG24-DK2601B) boards allowing developers to rapidly evaluate a diverse array of sensor applications using the xG24 AI capabilities with SensiML on this sensor-packed small form factor IoT kit.

For more, see “Creating a Smarthome Device That Is Truly Smart.”

SensiML


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