Embedded-Ai

Edge AI: Intelligence on the Edge Edge AI describes running artificial intelligence directly on devices, gateways, or nearby servers instead of sending data to a central cloud. It uses smaller models and efficient hardware to process inputs where data is created. This approach speeds decisions, protects privacy, and keeps services available even with limited connectivity. What is Edge AI? It blends on-device inference with edge infrastructure. The goal is to balance accuracy, speed, and energy use. By moving computation closer to the data source, you can act faster and more reliably. ...

Edge AI: Intelligence at the Edge Edge AI means running AI models directly on devices where data is produced. This keeps data local, reduces latency, and helps when the network is slow or unavailable. You can find it in smartphones, home cameras, wearables, and smart sensors in factories. By processing data on the device, decisions happen in real time and privacy can be better protected because private information does not need to travel far. ...