Introducing New, More Flexible Plans:

Proto, Advanced, and Premium Tiers

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Starting August 1st, SensiML is updating its service plans to bring more value and flexibility to its customers. ‘Proto Edition’ offers fixed fee license for a single application. All paid plans now provide flexible add-on features so customers can tailor their plans to suit their exact needs.

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Congratulations to Our Climate Change Challenge Winners!

Mitigating global climate change with ML

About six months ago we, the folks at QuickLogic, and the Avnet Hackster.io online community announced our Challenge Climate Change contest.  The idea was to encourage creative smart technology projects that improve awareness, change behavior, or optimize processes to impact climate change for the better.  Towards that end, we opened up the contest to developers…

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SensiML’s New Open Source Initiative:

AI Transparency and Flexibility Supporting IoT Sensor Products for the Real-World

SensiML Open Source Initiative Logo

Today SensiML took a leadership position in AI/ML tools for the IoT edge by announcing our new Open Source Initiative. SensiML Open Source Embedded SDK (coming later this summer) – The full library of SensiML segmenters, transforms, features, and classifiers as implemented by the AutoML and Python-based SensiML Analytics Toolkit Notebook will become available in open source format.

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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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Introducing Community Edition:

SensiML’s New ‘Always Free’ Tier for Experimenters

SensiML is introducing a new free Community Edition tier of its industry-leading edge AI toolkit made expressly for experimenters, innovators, and product R&D teams. SensiML Community Edition provides the means to build fully functional edge IoT inference models using one’s own existing labeled or unlabeled datasets, newly captured sensor datasets using SensiML Data Capture Lab, or models built leveraging our growing Data Depot library of example and community datasets.

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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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SensiML Starter Edition:

Buy It Once, Prototype All You Want

Beginning this month, SensiML Starter Edition is shifting from a one-time introductory subscription term to a full license without time limits. That’s right, Starter Edition will now be valid and usable for as long as you need it and actively continue using the service! To take advantage of this new license model, current and new Starter Edition customers need not do anything. All existing and prior licensed Starter Edition accounts will convert to the new buy-once, indefinite use license.

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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. The combination of SensiML and TensorFlow Lite for Microcontrollers offers best-in-class AI code generation for TinyML applications from consumer wearables to multi-sensor industrial monitoring devices.

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