Ongoing Projects
MUSIT is an international and interdisciplinary project that transforms heterogeneous tracking sensor data into complete, semantically enriched trajectories, opening new perspectives in mobility monitoring and establishing a dynamic network of collaborations among academia, industry, and innovators.
ENRESFOOD builds an AI-powered dashboard that helps risk managers, assessors and food-chain actors detect safety and security threats early, and respond before they cascade.
RenAI
Generative AI offers transformative potential for scientific research, yet its adoption is constrained by fragmented, poor-quality datasets, limited domain-specific models, and inadequate integration with research infrastructures. RenAI addresses these challenges by delivering an end-to-end, trustworthy GenAI ecosystem within the European Open Science Cloud.
Recent Projects
Some of the projects recently concluded are listed below
EFRA project explored advanced data analytics to address key challenges in food safety and quality for European consumers.
The FAIR project project aimed to develop trustworthy, adaptive and sustainable AI systems capable of interacting and collaborating with humans in dynamic environments.
EDGELESS project leveraged serverless computing across the edge–cloud continuum, bringing on-demand computational resources closer to where data are produced or consumed.
The SoBigData.it project aimed to strengthen the SoBigData research infrastructure (www.sobigdata.eu).
The CAMEO project enhanced conversational agents through contextual information, external knowledge, personalised search and recommendation. HPC led WP1 on Conversational Search.
SoBigData++ (H2020 RI, 2020-2023 contract N. 871042) developed a European research infrastructure for large-scale social data analytics, supporting researchers in studying the complexity of contemporary society.
CHARITY (H2020 RIA, G.A. No 101016509) project developed intelligent orchestration of cloud, edge and network resources to support the performance needs of emerging applications.
NAVIGATOR project advanced precision oncology through quantitative imaging and multi-omics analyses. Cnr-Isti led the development of the Virtual Research Environment and AI algorithms for radiomics.