SensiML & Silicon Labs Partner on Cutting-Edge AI for IoT:

AutoML Smart Sensing Tools for the EFR32 / EFM32 Family of Low Energy MCUs

Silicon Labs Thunderboard Sense 2

SensiML has collaborated with Silicon Labs to enable AutoML-based rapid development of optimized machine learning sensor models for Silicon Labs’ energy-friendly EFR32 and EFM32 microcontrollers (MCUs).

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SensiML Adds Arduino Nano 33 BLE Sense Support with PlatformIO

nano33 BLE Sense board

This month SensiML is pleased to announce SensiML Analytics Toolkit now provides native support for STMicroelectronics’ SensorTile.Box Development Kit for wireless IoT and wearable sensor applications. SensiML’s support for SensorTile.Box includes our most sophisticated MQTT-based device data collection firmware yet made available in open source for customers to extend and modify as necessary to suit their particular application needs.

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UPDATE:

SensiML Integrates Google’s TensorFlow Lite for Microcontrollers

SensiML Analytics Toolkit now provides pipeline support for one of the most popular open-source AI frameworks in existence: TensorFlow, specifically its TinyML variant TensorFlow Lite for Microcontrollers. This week we’ve added a step-by-step boxing wearing tutorial showing how SensiML data collection, annotation, and feature preprocessing are combined with a neural network classifier using TFL Micro.

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New SensiML Analytics Studio Makes AutoML for IoT Edge Easier Than Ever

SensiML Analytics Studio Screenshot

This week SensiML is releasing an all new version of its industry leading AutoML application SensiML Analytics Studio for building optimized embedded sensor algorithms for IoT devices.  SensiML Analytics Studio has existed since our inception as a core component of our AI Toolkit.  Previously it consisted of both a Python language interface for data scientists…

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Introducing SensiML Free Trial – Gain Familiarity with Edge AI and SensiML AutoML

SensiML offers an IoT AI software program that enables developers to build intelligent endpoints quickly and easily (up to five times faster than hand-coded solutions).  Now with the availability of the free trial and Data Depot dataset repository, developers have the opportunity to easily preview the toolkit and learn how SensiML can vastly accelerate IoT algorithm development…

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