Edge AI: Bringing Intelligence to Devices
Edge AI: Bringing Intelligence to Devices Edge AI brings smart thinking to devices near the user. Instead of sending every moment of data to a distant cloud, the device runs small but capable AI models locally. This makes phones, cameras, wearables, and sensors smarter while keeping data on the device. The result is faster responses, less dependence on a network, and better privacy. What makes edge AI useful? Faster responses with lower latency Stronger privacy since data stays on the device Offline operation when the connection is weak or absent Lower cloud bandwidth and cost To prepare a model for the edge, engineers choose compact, efficient designs. They shrink models with techniques like quantization and pruning. They favor architectures that run well on phones, sensors, or microcontrollers. On-device libraries and optimized runtimes help models run smoothly, even with limited power. ...