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Data and decentralized Artificial intelligence for a competitive and green European metallurgy industry

CORDIS · observation · Publication date unknown

Data and decentralized Artificial intelligence for a competitive and green European metallurgy industry Energy-intensive industries, embedded in many strategic value chains, make up more than half of the energy consumption of the European industry and reducing their CO2 intensity is crucial for meeting the objectives of the Paris agreement. Within EIIs, metallurgy poses a major challenge due to the trade-off that must be found between maintaining economic profitability, while progressively implementing the required transformations for a greener production. While digitalisation is generating a data deluge, Artificial Intelligence cannot be fully adopted due to limitations to share data between several factories and the heterogeneity of systems that hinders the replicability of AI. ALCHIMIA aims to build a platform based on Federated Learning and Continual Learning to help big European metallurgy industries unlo

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recordType

award

status

SIGNED

region

EU

value

2576987.5

unit

EUR