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Active Projects

The H2020 ACROSS project will co-design and develop an HPC, BD, and Artificial Intelligence (AI) convergent platform, supporting applications in the Aeronautics, Climate and Weather, and Energy domains.

ACROSS will combine traditional HPC techniques with Artificial Intelligence, such as Machine Learning and Deep Learning, and Big Data analytic techniques to enhance the application test case outcomes.

The project implements a practical approach to address the potential of cloud based open science to achieve a set of services identifying also longer term challenges to build and demonstrate the Pilot Blue Cloud as a thematic EOSC cloud to support research to better understand & manage the many aspects of ocean sustainability, through a set of five pilot Blue-Cloud demonstrators.

DARE wants to demonstrate the effectiveness of an INNOVATIVE DIGITAL-BASED AND CITIZEN-CENTRED GOVERNANCE APPROACH, aimed at facilitating, supporting & fastening the implementation & evaluation of the DARSENA (Ravenna) URBAN REGENERATION PROCESS, to be replied in other EU MIDDLE-SIZED CITIES.

DICE aims to enable a European storage and data management infrastructure for EOSC, providing generic services and building blocks to store, find, access and process data in a consistent and persistent way.

The project will offer 14 state-of-the-art data management services together with more than 50 PB of storage capacity.

Leveraging national initiatives of the EU Member States and thematic initiatives developed by research communities to help build an Open Science and FAIR data-based European Open Science Cloud (EOSC).

Logo Fenix

The ICEI project will realise key elements of the Fenix infrastructure, which aims at providing scalable compute and data services in a federated manner. The focus is to meet the computing infrastructure needs of the neuroscience community

IoTwins: a unique and flexible platform for the creation of digital twins for industrial plants, a 20 million Euro European-funded project in which CINECA participates by providing its know-how in the field of big data analysis and in the definition of complex workflows on cloud and HPC systems. Within the project there will be 12 testbeds, each realizing a digital twin, the digitization of an industrial process, in order to optimize and improve its management.