Edge AI refers to the implementation of AI algorithms and models directly on local edge devices, such as sensors or Internet of Things (IoT) devices. This allows for real-time data processing and analysis without constant reliance on cloud infrastructure. Edge AI combines edge computing and artificial intelligence to execute machine learning tasks directly at the edge, enabling data to be stored close to the device location and processed right at the network edge, with or without an internet connection. This leads to data processing within milliseconds, providing real-time feedback. Edge AI is gaining popularity as various industries discover new ways to leverage its power to optimize workflows, automate business processes, and unlock new opportunities for innovation, while simultaneously addressing concerns such as latency, security, and cost reduction. Edge AI is particularly beneficial in scenarios where quick data responses are crucial, such as in autonomous vehicles, where real-ti...