TinyML

A Little Bit About TinyML

How does SensiML fit into the picture?

We often get asked about TinyML – what it is, how it works, how we at SensiML fit into the picture, and for some real-world examples of how it can it useful. Let’s start with the definition. For this we turn to the authoritative body, the tinyML Foundation (tinyml.org).  Here’s what they have to say: “Tiny

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Congratulations to Our Climate Change Challenge Winners!

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

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

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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Join Us at the TinyML Summit

SensiML will be presenting on Thursday, March 25th at 12 noon. We will cover how to build smart IoT products with production-quality AI tools.

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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 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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