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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SensiML Free Trial Edition

Amazingly simple to use, no need for large data science. SensiML Free Trial Edition includes sample datasets for rapid exploration teams. SensiML Toolkit enables AI for a broad array of resource constrained time-series sensor endpoint applications. These include a wide range of consumer and industrial sensing applications. Our growing library of data transformation and pattern…

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Feature (machine learning)

In machine learning and pattern recognition, a feature is an individual measurable heuristic property of a phenomenon being observed. Choosing discriminating and independent features is key to any pattern recognition algorithm being successful in classification. Features are usually numeric, but structural features such as strings and graphs are used in syntactic pattern recognition. The set…

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SensiML Analytics Toolkit Suite

SensiML is a purpose-built AutoML development tool for edge devices intended for schedule-driven IoT sensor product development projects where time, investment, and efficient code are mission critical. SensiML Analytics Toolkit has evolved over eight years originating as an Intel SW tool into an independent industry-leading multi-platform edge AI tool for building optimal models on resource…

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SensiML Basic Edition

This value-priced tier of service is intended to enable small and mid-tier innovators with an extremely affordable alternative to ramping up costly signal processing and data science expertise while providing a rapid means to showcase and commercialize novel solutions for wearables, smarthome IoT products, and other similar projects.

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SensiML Standard Edition

Our most popular tier of service is SensiML Standard Edition which comes complete with scalable multi-user access and productivity across larger, multi-disciplinary teams (test technicians capturing train/test samples; domain experts labeling datasets; software developers, engineers and data science specialists running AutoML pipelines and analyzing results; firmware engineers implementing resulting platform optimized code in their target hardware devices for integration,…

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