In AIDEAS Project we are delighted to announce our participation in the 31st ICE/IEEE ITMC Conference, taking place from 16 to 19 June 2025 in Valencia, Spain. What to Expect at ICE/IEEE ITMC 2025? Integration of AI and machine learning into industrial engineering processes Innovations in sustainability and energy
On April 09, 2025, s‑X‑AIPI will host its final event, «Transforming Process Industries with AI,» showcasing how advanced Artificial Intelligence is reshaping process industries. The event will feature top experts, including the participation of the AIDEAS Project, which brings its expertise in digital transformation and innovation. Event Highlights: Hybrid Format:
We at AIDEAS Project proudly announce our participation in the ICE IEEE/ITMC 2025 Conference, scheduled for June 16–19, 2025. As part of the IEEE Technology and Engineering Management Society (TEMS) family, ICE 2025 offers a premier forum to explore how artificial intelligence revolutionizes traditional processes and drives smarter, faster decision-making
After much dedication, we’re excited to present the fourth edition of our AIDEAS newsletter! In this edition, we share the latest from the 5th AIDEAS Plenary Meeting, insights from the XXIX Francesco Turco Summer School, and our upcoming participation in IEEE ICE/ITMC 2025. Additionally, we highlight recent articles and publications
We’re thrilled to host the 5th AIDEAS Plenary Meeting in San Sebastián, where Manufacturing Pilots and Solution Providers come together to drive AI integration in manufacturing. 💡 The event focuses on overcoming challenges like data communication and smooth AI adoption in industrial operations. 🔹 Highlights: ✔️ Project Updates: Reviewing AI-driven
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,
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101057294
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Stefanos Vrochidis (CERTH)
IIias Gialampoukidis (CERTH)
Raul Poler (UPV)
