Shih-Kai Chou, Jernej Hribar, Vid Hanžel, Mihael Mohorčič and Carolina Fortuna from the Department of Communication Systems of the Jožef Stefan Institute published a paper entitled The energy cost of artificial intelligence lifecycle in communication networks in the prestigious IEEE Journal on Selected Areas in Communications. In the paper, they analyzed the complexity of data collection and manipulation in individual components of an information-communication system and derived overall and per‑bit energy consumption. They proposed a new metric, the energy cost of AI lifecycle (eCAL), which allows for the quantification of the total energy consumption from development to deployment and utilization of machine learning models providing artificial intelligence in communication networks. The authors are the first to combine the previously separate monitoring of energy consumption in communication, computing infrastructure and the development and use of machine learning models, which forms the baseline for sustainable introduction of intelligent functionalities into smart infrastructure systems.