Edge AI and cloud-based AI differ primarily in where data processing takes place. Edge AI processes data locally on devices like sensors or microcontrollers, enabling faster responses, reduced latency, and greater privacy. In contrast, cloud-based AI relies on internet connectivity to send data to remote servers for analysis, offering more computing power but introducing delays and potential security risks. Edge AI is ideal for real-time decision-making in environments with limited connectivity, while cloud-based solutions excel in handling large-scale data. Understanding these differences is crucial for designing efficient smart systems. Learn more through an in-depth embedded systems course.
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