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Edge AI deploys machine learning models directly on devices to:
- Reduce latency
- Conserve bandwidth
- Enhance privacy
- All of these
Answer: All of these
Edge AI processes data locally (smartphones, cameras, sensors), avoiding cloud dependency. Enables real-time decisions (autonomous vehicles), works offline, keeps sensitive data on-device. Critical for IoT scalability. [[MeitY Reports]]