ML at the Edge: a Practical Example
Machine learning is the primary methodology for delivering AI applications. In previous articles, I discussed the main reasons behind moving machine learning to the network edge. These include the need for real-time performance, security considerations, and a lack of connectivity. However, ML models typically require powerful hardware to run efficiently. Fortunately, in recent years, MCUs… Read more
