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What are the challenges of implementing AI on edge devices?
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Answer / Dinesh Kumar Meena
Challenges of implementing AI on edge devices include limited computational resources, power constraints, and the need for real-time processing. Additional considerations may include data privacy concerns, the need for low-latency communication between edge devices and cloud servers, and the development of lightweight machine learning algorithms optimized for edge computing.
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