 about embedded machine learning, we typically refer to machine learning inference‚Äîthe process of taking input and making a prediction (for example, guessing motion status based on accelerometer data). The training part is typically still performed on traditional computers.</p>
<p>Furthermore, embedded systems usually have limited memory. This challenges running many machine learning models, which often have high demands for read-only memory (storing the model) and RAM (handling intermediate results g