Edge AI involves processing data closer to the source rather than relying on centralized systems. This reduces latency and improves real-time decision-making. It is widely used in IoT devices and smart systems. Edge computing enhances privacy and data security. Applications include smart homes, healthcare devices, and autonomous vehicles. Researchers are optimizing models for edge deployment. This trend supports faster and more efficient AI systems.