Blog Posts
ALCHIMIA Project: Preliminary Study on the Correlations Between Thermal Analysis and Brake Disc Quality
In the foundry industry, one of the recurring challenges is reducing scrap parts, which pose obstacles in terms of both costs and sustainability. At Fonderia di Torbole, however, innovation is at the core of every activity, and to address these challenges, the...
The Surprising Time Sink in AI Projects: How Data Collection Consumes Resources
Data acquisition is recognized as one of the most resource-intensive aspects of AI projects. Within the framework of the ALCHIMIA project, significant challenges have been identified, necessitating the implementation of strategies to address them effectively. The...
The Role of ETL in the ALCHIMIA Project
In order for AI models to generate meaningful insights and drive decision-making, access to quality data is crucial. This is where ETL (Extract, Transform, Load) a data integration and transformation process comes into play. ETL facilitates data preparation, ensuring...
Artificial intelligence for electrical steelworks modelling
Artificial intelligence for electrical steelworks modelling by Antonella Zaccara, Laura Laid and Stefano Dettori, Scuola Superiore Sant’Anna The role of electric steelworks is crucial in driving the steel industry transition to more sustainable and circular...
The EU Green Deal and Its Implications for the Steel Industry: A Perspective Linked to ALCHIMIA
The EU Green Deal and Its Implications for the Steel Industry: A Perspective Linked to ALCHIMIAThe EU Green Deal and Its Implications for the Steel Industry: A Perspective Linked to ALCHIMIA By Anna Brékine The European Green Deal is reshaping industries across...
Critical Raw Materials and their Relevance for Clean Energy Transition
Critical Raw Materials and their Relevance for Clean Energy TransitionCritical Raw Materials and their relevance for clean energy transition The EU has the goal to become a climate neutral economy by 2050. Strategic technologies needed for Green and Digital Transition...
Continual Learning in Practice
Continual Learning in PracticeIn a previous article, we discussed the benefits of continual learning for the European steel industry. We motivated the need for continual learning to help machine learning models keep up with changes in the real world and maintain an...
ALCHIMIA Project’s Training Programme
ALCHIMIA Project’s Training ProgrammeBy Rachel Hale, Dean Stroud, Martin Weinel and Vinicio Di Iorio The social science team have developed the ALCHIMIA Project’s Training Programme, based on existing good practices, findings and recommendations. The training...
The ALCHIMIA Project: Utilization of Explainable AI for Smart, Sustainable Steel Production
The ALCHIMIA Project: Utilization of Explainable AI for Smart, Sustainable Steel ProductionBy Sandra Rothe, VDEh-Betriebsforschungsinstitut (BFI) In the rapidly evolving world of steel manufacturing, efficiency and precision are essential to staying...
ALCHIMIA Project’s Investigation of the Skills and Training Implications of Industry 5.0 (I5.0)
ALCHIMIA Project's Investigation of the Skills and Training Implications of Industry 5.0 (I5.0)By Rachel Hale, Dean Stroud, Martin Weinel and Vinicio Di Iorio The novel introduction of AI and Big Data technologies for minimising energy consumption and waste generation...