edge intelligence

3 items

ARTICLEDEV.to AI·5/9/2026

Probabilistic Graph Neural Inference for coastal climate resilience planning for low-power autonomous deployments

The author discusses the limitations of centralized AI for low-power coastal monitoring, where sending raw sensor data to the cloud quickly drained device batteries. This challenge inspired the exploration of Probabilistic Graph Neural Inference to enable efficient, localized reasoning for edge intelligence in autonomous deployments.

edge intelligence Coastal Resilience Graph Neural Networks Low-Power Deployments

RESEARCHarXiv CS.LG·14d ago

Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection

This paper proposes MODIAD, a novel framework for Multimodal Online Distributed Industrial Anomaly Detection, addressing limitations of existing methods in real-world industrial environments. It aims to leverage edge intelligence for distributed model training in industrial systems.

Anomaly Detection multimodal AI edge intelligence industrial AI

RESEARCHarXiv CS.LG·15d ago

FusionSense: Tri-Stage Near-Sensor Learning for Runtime-Adaptive Multimodal Edge Intelligence

FusionSense introduces a tri-stage near-sensor learning framework for energy-constrained autonomous edge systems, addressing challenges of multimodal sensor data processing. It optimizes computation and transmission by training lightweight near-sensor classifiers with fusion-aware decisions, enhancing adaptivity and efficiency.

edge intelligence Autonomous systems learning Energy Efficiency