by Peter Kunz (ERCIM)
With the GLACIATION project concluded in September 2025, the consortium presents a suite of validated tools and methods enabling energy-aware, privacy-preserving data operations in distributed infrastructures, demonstrated via four real-world pilots and publicly showcased at its Final Conference in Brussels.
by Claudia Roessing, Sam Samtosh and Markus Helfert (Innovation Value Institute, Maynooth University)
VISION, a project that offers a support tool for policymakers and other stakeholders to help analyse the adoption of sustainable practices. The tool demonstrates a practical application of the advantages of implementing circular economy principles, not only in terms of environmental protection, but also in maximising the efficient use of material resources in the construction sector.
by Eliezer Zahid Gill, Daniela Cardone, Alessia Amelio (Department InGeo, University "G. d'Annunzio" Chieti-Pescara, Italy)
The study introduces a new framework using transfer learning with deep neural networks for reliably forecasting multiple air pollutants and is designed for use at construction sites. The framework outperforms other related approaches, enhancing environmental monitoring and promoting sustainability.
by Daniel H. Stolfi and Carlos Kavka (Luxembourg Institute of Science and Technology)
Swarms of collaborative robots have been proposed for performing several complex tasks in scientific literature and industry. However, powered by batteries, these devices need to be recharged sooner or later to continue working. We propose a swarm-intelligence-based algorithm for automatically recharging the swarm members by calculating optimal paths while avoiding robot collisions.
by George Tambouratzis (Athena Research Centre) and Gary Pampara (Stellenbosh University University)
Computational Intelligence algorithms are designed to mimic the way groups of organisms collaborate to achieve a certain objective [1]. In computational intelligence there are several hyper-parameters that govern the performance of the algorithm and that must be properly set-up. Here we summarise the HYPCIA project, aimed at determining the best values for these hyper-parameters, in order to help researchers choose more appropriate values (at least as a starting point) to solve specific real-world tasks.
by André Paul (Fraunhofer FOKUS)
A new low-code toolchain enables resilient, real-time collaboration among heterogeneous edge devices, forming intelligent and autonomous swarms for smart IoT applications. By integrating semantic interoperability and dynamic self-organisation, these swarms can operate independently at the edge, even in changing or unpredictable environments. The SmartEdge project brings together advanced networking, AI, and usability tools to empower next-generation distributed systems.
by Peter Kunz (on behalf of the Nephele consortium)
The Horizon Europe project NEPHELE - a lightweight software stack and synergetic meta-orchestration framework for the next generation compute continuum - delivers a reference architecture, software components, and initial releases that coordinate cloud-edge-IoT resources for “hyper-distributed” applications through a meta-orchestrator, a virtual-object stack for IoT, and a developer dashboard, validated across four pilots.
