The paper presents the DAIMON Lab CNR-ISMN approach to the design and implementation of AI and data-driven infrastructures for workflow automation and integration in advanced research and industrial applications. The work focuses on interoperable frameworks, semantic technologies, high-throughput workflows, HPC and data-centric integration to support prediction, automation and technology transfer across application domains such as advanced materials, electronics, energy, manufacturing and smart mobility.

AI and data-driven infrastructures for workflow automation and integration in advanced research and industrial applications

Tommaso Forni;Mario Vozza;Fabio Le Piane;Andrea Lorenzoni;Matteo Baldoni;Francesco Mercuri
2023

Abstract

The paper presents the DAIMON Lab CNR-ISMN approach to the design and implementation of AI and data-driven infrastructures for workflow automation and integration in advanced research and industrial applications. The work focuses on interoperable frameworks, semantic technologies, high-throughput workflows, HPC and data-centric integration to support prediction, automation and technology transfer across application domains such as advanced materials, electronics, energy, manufacturing and smart mobility.
2023
Istituto per lo Studio dei Materiali Nanostrutturati - ISMN
Workflow automation
Semantic technologies
Data-driven integration
High-performance computing
Artificial intelligence
Data-driven infrastructures
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/582471
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