Answer / Sumana Mondal

Edge computing refers to data processing at the source of data generation, often close to or on IoT devices themselves. This approach minimizes latency and bandwidth usage by reducing the amount of data that needs to be transmitted to a cloud or central server for processing. Edge AI is a subset of artificial intelligence that involves applying machine learning models directly onto edge devices to perform computations at the point where data is generated, thereby reducing latency even further and improving responsiveness. By performing AI tasks locally on edge devices, the need for real-time data transfer can be eliminated, resulting in more efficient and autonomous systems.

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