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

Informations projet

ALCHIMIA

N° de convention de subvention: 101070046

DOI

10.3030/101070046

Projet clôturé

Date de signature de la CE 13 Juin 2022

Date de début 1 Septembre 2022

Date de fin 30 Novembre 2025

Financé au titre de

• Digital, Industry and Space

Coût total

€ 3 182 500,00

Contribution de l’UE

€ 2 576 987,50

Coordonné par

ATOS IT SOLUTIONS AND SERVICES IBERIA SL
Spain

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Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (4)

Project Handbook

T1.1-T1.3. It shall describe all operational aspects of the project, project execution and management in order to provide the consortium partners with background information about specific procedures and norms to be followed during the project lifetime. Quality procedures, risk identification, management and mitigation procedures, as well as guidelines on knowledge management for information sharing, IPR protection and innovation will be here described.

Plan for impact creation, standardisation and exploitation

T6.1-T6.3 Report on the communication, dissemination, and standardisation. This report will include detailed plans for dissemination, communication, standardization and exploitation activities and IPR to be followed by all partners to publicise the ALCHIMA results. This deliverable will also include a preliminary Business Plan for the sustainability of the project

Use-cases preparation

T5.1. Report that describes the readiness of each pilot for the development and deployment activities based on T5.1.

Requirements and human-centric recommendations

T2.1, T2.3 This deliverable will include the stakeholders’ expectations. Also, the findings of the research with survey results and interviews provide insights and foresight recommendations for human-centric technology development and insertion.

Data Management Plan (1)

Data Management Plan

T1.5. It defines the guidelines for data management in order to ensure a high level of data quality and accessibility for final users and stakeholders and to allow the application of data analytics techniques. Note: Financial and progress reporting will be provided at the end of each reporting period through the EC tool.

Other (1)

Federated Learning framework_version 1

T3.1-T3.3 Report and prototype implementation of ALCHIMIA Federated Learning framework, Transfer Learning and domain adaptation techniques.

Publications

Conference proceedings (4)

Artificial Intelligence in Steel Production: Questions of Augmentation, Optimisation and Accountability

Auteurs: Dean Stroud, Rachel Hale; Martin Weinel; Luca Antonazzo; Vinicio Di Iorio
Publié dans: 2026
Éditeur: ELGAR - Handbook of Disruptive Digital Technology

Machine Learning models to forecast defects occurrence on foundry products

Auteurs: S. Dettori, A. Zaccara, L. Laid, I. Matino, M. Vannucci, V. Colla, G. Bontempi, L. Forlani
Publié dans: IFAC-PapersOnLine, Numéro 58, 2024, ISSN 2405-8963
Éditeur: Elsevier BV
DOI: 10.1016/J.IFACOL.2024.09.300

ALCHIMIA: what it really takes to build industrial AI in European steelmaking

Auteurs: David Blazquez, Irene Garcia and Barbara Fernandez
Publié dans: 2026
Éditeur: Steel Times International

Embedding Human-Centred AI in Steelmaking: Lessons from the Alchimia Project

Auteurs: Dean Stroud and Martin Weinel
Publié dans: 2026
Éditeur: Steel Times International

Other (1)

Optimizing Steelmaking with Models, AI, and Federated and Continual Learning

Publié dans: Automaatioväylä, Numéro 41(1), 2025, ISSN 0784-6428
Éditeur: Finnish Society of Automation
DOI: 10.5281/ZENODO.14741719