
How To Do Machine Learning on Arm Cortex-M Microcontrollers
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.
Disclaimer: by clicking on this button, you accept that your data might be communicated to this company. If you do not want us to communicate your data, please update your details on your profile