AIBullisharXiv – CS AI · 10h ago6/10
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Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing
Researchers demonstrate that preprocessing raw IoT sensor data into structured textual formats significantly improves the accuracy of edge-deployed language models for environmental monitoring, narrowing the performance gap with cloud-based systems while maintaining low latency. Testing on indoor and outdoor air-quality datasets shows local model accuracy improving from 50.9% to 81.7% indoors and 63.7% to 89.3% outdoors through progressive prompt enrichment, achieving inference speeds near 0.22 seconds.