What we're doing

The activity aims to enhance AI across the space mission lifecycle by identifying synthetic data opportunities, developing and validating MVPs, and defining a roadmap toward operational products. Call: ESA AO/1-12821/25/D/SR

Il progetto si propone di raggiungere i seguenti risultati: sviluppo di un algoritmo AI per la stima della coerenza tra comportamento e velocità di sicurezza e sviluppo di un algoritmo AI per l'avviso in tempo reale al conducente.

The Italian AI Factory IT4LIA is a strategic initiative designed to transform the national and European AI landscape through cutting-edge HPC infrastructure and a comprehensive suite of services, including no-cost access for eligible startups, SMEs, public administrations, and academic institutions, as well as tailored offerings for other innovation actors.

The AIFDIR project aims to design, develop and validate SW components that are able to significantly improve the effectiveness and efficiency of the management functions of FDIR (Fault Detection, Isolation and Recovery) systems, through the use of artificial intelligence techniques based on Machine Learning (ML) and their integration with symbolic models of the systems and of the possible faults.

ExploDTwin (Digital Twin for Space Exploration Assets) is a Technology Development activity carried out by TRASYS, FBK, and ALTEC with the support of the European Space Operations Centre (ESOC). The project focuses on developing and testing key DT capabilities based on AI for mission operations.

RETE will demonstrate a prototype service for improving the climatic resilience of critical infrastructures, using the national transmission grid (NTG) as a relevant test case. With a focus on selected pilot areas, RETE will analyze site specific geotechnical hazards (i.e. landslides or volumetric collapse) and will characterize meteo-climatic extremes affecting the stability of the NTG. Finally, RETE will elaborate climate resilience scenarios by integrating climate information with a complex network modeling approach.

In the context of this HE project the contribution of the DSIP unit is on the use of ML to establish the degradation model of electrochemical parameters impacted by identifying hydrogen impurity performance and durability penalties. Call: HORIZON-JTI-CLEANH2-2023-1

The project aims to develop tools and methodologies to be used in different industrial contexts for the quantification of the impacts of extreme natural events on the Italian territory.

Sviluppo di modelli predittivi basati su AI per l'ottimizzazione della produzione nel contesto degli impianti per la lavorazione del vetro cavo

AI-Matters aims to accelerate the adoption of Artificial Intelligence (AI) in European manufacturing industries by bringing together a consortium of 24 leading organizations from eight European countries (Czech Republic, Denmark, France, Germany, Greece, Italy, the Netherlands, and Spain) to create a worldwide reference network of Test and Experimentation Facilities (TEFs) for the manufacturing sector.

Empowering innovators in the agrifood sector with customised tools for the validation of their AI and robotics solutions.

Centro Nazionale di Ricerca in HPC, Big Data and Quantum Computing Spoke 4 - Earth & Climate. Spoke 4 seeks to create an interdisciplinary network integrating components of the most advanced modelling of the Earth system, to give the scientific community and users a flexible, reliable, and powerful tool.

InCUBE brings together 23 partners and two affiliated entities from 7 European countries, envisioning to unlock the EU renovation wave through cutting-edge standardised and integrated processes based on 4 key pillars of innovation: new market entrants, digitalisation, new technologies and materials, industrialization. Call: HORIZON-CL5-2021-D4-01

RUBY: Robust and reliable general management tool for performance and dUraBility improvement of fuel cell stationarY unit. A new way to monitor fuel cell technologies. Call: H2020-JTI-FCH-2019-1