The paper “Online Learning Techniques for Occupancy Detection on Resource Constrained Devices” by Flavio Renzi, Haoyu Ren, Alessio Bernardo, Giacomo Ziffer, Darko Anicic and Emanuele Della Valle - some NEPHELE colleages from SIEMENS - have been accepted by INTEL4EC 2025.
Following the successful first and second edition, the third edition of Intel4EC workshop aims to bring together researchers, developers and practitioners from academia and industry to present their experiences, results and research progress covering architectural designs, methods and applications of AI/ML/LLM-enabled Edge-Cloud operations and services. By bringing together these research topics, Intel4EC looks forward to helping the community define open standards, AI/ML benchmarks that contribute to experiment reproducibility and systematize the complete management pipeline for a myriad of Cloud-Edge operations.