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October 20 - October 22
enakronIC presents Edge AI innovations at the European Conference on EDGE AI Technologies and Applications (EEAI 2025)
As part of COP-PILOT’s Cluster 3E, enakronIC participated in the poster session of the European Conference on EDGE AI Technologies and Applications (EEAI 2025), showcasing cutting-edge research in trustworthy Edge AI for smart energy systems.
The company presented a novel model optimization pipeline designed to enhance the reliability and performance of deep learning models on resource-constrained edge devices. This pipeline integrates hardware-aware model search, hyperparameter tuning, and flat minima training strategies, ensuring high prediction accuracy and robustness even in demanding real-world environments.
Represented by Alexandros Machairas, Junior Edge AI Engineer, enakronIC demonstrated how this methodology supports the automated inspection of electricity grid insulators — a key capability for predictive maintenance and operational safety in modern energy networks.
Within COP-PILOT, this work directly contributes to Cluster 3E, particularly Use Case # 3E.1, where the same optimization approach is leveraged to power advanced analytics services for intelligent grid monitoring and fault detection.
Through its participation in EEAI 2025, enakronIC continues to advance trustworthy, efficient, and scalable Edge AI solutions that strengthen the digital backbone of Europe’s energy infrastructure.
