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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Using Machine Learning to Tackle Climate Change:

A HacksterIO Contest

Mitigating global climate change with ML

Climate change: A huge challenge forcing us all to be smarter about how we utilize our planet’s resources. At SensiML we’re all about smarter, which is why we’re teaming up with QuickLogic and Hackster.io to create the “Challenge Climate Change” contest with over $70k in prizes. So do some good, learn about edge AI, and maybe win big!

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