AIDEAS Project is proud to announce the successful presentation by IKERLAN at the 5as Jornadas sobre Fiabilidad en el Mantenimiento held in Madrid, Spain on November 27-28. During the event, Urko Leturiondo showcased the innovative Condition Evaluator and Anomaly Detector solutions—tools designed to transform predictive maintenance and advanced systems management,

We at AIDEAS Project proudly participated in the «LLSF Living labs for the industry: skills for the fourth industrial revolution» event in Lisbon, Portugal, held from 8–11 November 2024. Organized by UNINOVA, this industry training event focused on supporting the digitalization of companies by disseminating innovative projects that demonstrate tangible

We at AIDEAS Project are excited to announce our participation in the European Manufacturing Conference during EFFRA Days 2024, taking place on 24–25 September in Brussels, Belgium. This prestigious event, co-organised by EFFRA, EIT Manufacturing, and ManuFuture, will gather over 350 participants—including policymakers, industry representatives, academic experts, RTOs, startups, scaleups,

AIDEAS Project takes center stage at the European Big Data Value Forum 2024 in Budapest, Hungary, from October 2–4. We join a vibrant community of industry professionals, business developers, researchers, and policy-makers from across Europe and beyond, all committed to advancing policy actions and pushing forward industrial and research initiatives

We at AIDEAS Project proudly announce our participation at AIOTI Days 2024, held on 24–25 September in Brussels, Belgium. This dynamic event offers a rich and comprehensive experience with its Thematic and Project sessions, Hackathon, and Scientific Conference GIECS. At AIOTI Days 2024, we will disseminate our innovative research and

Ilaria Pietrangeli and Mateo del Gallo, AIDEAS members at UNIVPM, presented two papers at the XXIX Francesco Turco Summer School in Otranto, Italy (11-13 September). His work addressed sustainability in industrial equipment using Smart Retrofit Architecture and the optimization of CNC processes with artificial neural networks. During their presentations, they