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Edge impulse AI machine learning

The Edge Impulse tools start by guiding the collection of sensor data, for anything from image recognition – an Edge Impulse case study describes a project for building a portable machine for diagnosing diabetic retinopathy – to tracking assets in the cold chain. The Feature Engineering tool builds algorithms that pinpoint the features that matter in your application. Tuning tools then optimize the performance of the algorithm on your chosen hardware target. Edge Impulse speeds up application development by providing a broad range of pre-built algorithms developed for common machine learning use cases.

And the tools are compatible with a huge range of SoC, microcontroller and microprocessor manufacturers.

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By applying for this board, I understand that its use will be for the integration of technology into a commercial design for release to market after product development. This board will not be used for personal or hobbyist projects where there is no aim to bring an end design to market.