Promette sostenibilità ma prosciuga risorse: il vero impatto ambientale dell’IA
A critical analysis of the environmental cost of AI, from energy and water consumption to hardware life-cycle impacts and computational responsibility.
Open original ↗Essays, expert commentary and press features connecting M.O.D.A.L. research with the public debate on Artificial Intelligence, Digital Twins, scientific computing and data-driven society.
OUTREACHExpert commentary · media · public engagementFondazione Leonardo ETS · Issue 4/2025 · Digital Twins special issue.


The essay examines the evolution of Digital Twins in manufacturing: from connected virtual replicas to intelligent, adaptive systems combining real-time data, AI, edge computing and federated learning. It also connects industrial twins with smart mobility and urban systems.
Read the issue at Fondazione Leonardo ↗Articles authored by Francesco Piccialli and M.O.D.A.L. researchers for broader scientific and technological audiences.
A critical analysis of the environmental cost of AI, from energy and water consumption to hardware life-cycle impacts and computational responsibility.
Open original ↗Why selective forgetting is becoming a technical requirement for privacy, security, governance and the maintenance of AI systems.
Open original ↗How Edge AI and Federated Learning can support continuously updated digital twins of industrial plants and complex infrastructures.
Open original ↗High-Performance Computing as an enabling layer for simulation, prediction and optimization in advanced industrial digital twins.
Open original ↗Federated learning for urban services, IoT and mobility, enabling collaborative intelligence while limiting the movement of sensitive data.
Open original ↗A decentralised AI perspective combining federated learning and edge computing for privacy, operational resilience and energy efficiency.
Open original ↗An introduction to the convergence of High-Performance Computing, Physics-Informed Neural Networks and AI for modelling complex systems.
Open original ↗Interviews, profiles and coverage of M.O.D.A.L., its scientific coordinator and research activities.
A long-form interview on the origins of M.O.D.A.L., research in AI and scientific computing, international collaborations and the role of technology in society.
Open original ↗An interview on academic choices, the decision to build research in Naples, M.O.D.A.L. and the development of AI and mathematical research at Federico II.
Open original ↗Francesco Piccialli is included in the national mapping of people shaping artificial intelligence in Italy, with M.O.D.A.L. highlighted among the research activities at Federico II.
Open original ↗Coverage of Federico II research using artificial intelligence to forecast healthcare demand and support the decongestion of health facilities in Campania.
Open original ↗Official Federico II reporting on selected M.O.D.A.L. research results. Distinct from authored commentary and independent press coverage.
The university recounts M.O.D.A.L.'s PreD-NET research into induced seismicity and links the result to the paper published in Scientific Reports.
Read Federico II story ↗An institutional report on multidisciplinary research combining biosensing and Artificial Intelligence, connected to a publication in Sensors and Actuators B.
Read Federico II story ↗Federico II reports the BIOCHIP results on a machine-learning-enhanced biosensor for mercury detection, published in Biosensors and Bioelectronics.
Read Federico II story ↗Official university coverage of partnerships and major research initiatives, separate from reports dedicated to individual papers.
Federico II describes its role in the European MSCA Doctoral Network TUAI, including the group's research directions in federated learning, graph neural networks and language models.
Outreach complements scientific publishing by translating methods, results and their societal implications into accessible public discussion.