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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Visit Us at the ST Developers Conference 2020: October 20th and 21st – An Online Event

Join SensiML on October 20 & 21 at the ST Developers Conference, this year being held entirely online. This year SensiML is pleased to be amongst the lead event sponsors and will be delivering an on-demand session presentation as well as demoing SensiML Analytics Toolkit in our virtual booth. Event registration is free and open now. SensiML will be presenting throughout the two-day event. We hope to “see” you there!

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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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SensiML Adds Support for STMicroelectronics’ SensorTile.Box

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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SensiML Adds Support for QuickLogic’s QuickFeather IoT Dev Kit

QuickLogic QuickFeather - IoT EVB with low-power MCU + embedded FPGA

This week SensiML added support for the Quicklogic QuickFeather Development Kit. Noteworthy for its inclusion of Arm Cortex-M4 MCU, FPGA, and an array of sensors in a fully open-source HDK using the popular Adafruit Feather form factor, the QuickFeather makes a great IoT development platform for developers of consumer, wearable, and industrial products.

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When AI Goes Wrong: Avoid This Leading Cause for Project Failure

Scenario: Six months and $500,000 of investment into a key initiative to build a more intelligent product or streamline a strategic internal process using AI, and things are not going well.

The frequent culprit is poor upfront planning for a data-centric approach to development. Read more about this all too common issue that can undermine AI project success before you even start.

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