How To Do Machine Learning on Arm Cortex-M Microcontrollers

By ARM Ltd.
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This guide to ML on Cortex-M microcontrollers offers methods for NN architecture exploration using image classification on a sample CIFAR-10 dataset to develop models that fit on power and cost-constrained IoT devices. Read More

Machine learning (ML) algorithms are moving processing to the IoT device due to challenges with latency, power consumption, cost, network, bandwidth, reliability, security, and more.

As a result, interest is growing in developing neural network (NN) solutions to deploy ML on low-power IoT devices, for example with microcontrollers powered by proven Arm Cortex-M technology.

To help developers get a head start, Arm offers CMSIS-NN, an open-source library of optimized software kernels that maximize NN performance on Cortex-M processors with minimal memory overhead.

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