Energy-Efficient Context-Aware Multimodal AI Inference at the Edge
These findings confirm that context-aware adaptive scheduling can dramatically boost the energy efficiency of edge multimodal inference without sacrificing task performance, offering a viable deployment solution for low-power Internet of Things, intelligent surveillance, and human-robot interaction scenarios.