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Edge AI involves deploying AI models and algorithms directly on edge devices, such as sensors and IoT devices, rather than in centralized data centers. This approach reduces latency, improves real-time decision-making, and decreases the need for data transmission to the cloud. It enhances data processing capabilities by enabling on-site analysis and action, which is crucial for applications like autonomous vehicles and industrial automation