What is embedded machine learning?
Embedded machine learning refers to the integration of machine learning models and algorithms into embedded systems, which are computing devices designed for specific functions and often operate in real-time, resource-constrained environments. Unlike traditional machine learning setups that rely on powerful servers or cloud infrastructure, embedded machine learning brings the capability of machine learning directly to devices such as microcontrollers, IoT devices, sensors, and other edge devices.
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