👉 The AI tools of the AIDEAS Project have been presented at the 9th Conference «SCIENCE & BUSINESS – common challenges» held on the 16th of November in Krakow (Poland), in the frame of the plenary session «Digitalisation in global perspective». 💡 The presentation «The application of Artificial Intelligence in Industry», conducted
After a year of dedication, we are delighted to unveil the fruits of our labour with the eagerly awaited Newsletter #2. We are thrilled to provide you with an exclusive compilation of activities, events, and articles meticulously curated during the development of AIDEAS. This compilation provides a comprehensive look at
In an exciting collaboration with our esteemed partner, IKERLAN, the AIDEAS Project showcased its innovative solutions at the recently concluded #23CMH Manufacturing Congress. Organized by AFM Advanced Manufacturing Technologies, this prominent event took place at the Science and Technology Park of Gipuzkoa from October 25th to 27th. The Manufacturing Congress
Last Thursday we had the opportunity to collaborate together AIDEAS Project, s-X-AIPI, and Circular TwAIn Project Takes Center Stage at EBDVF2023 The future of AI in manufacturing and industry is taking shape thanks to the incredible collaboration between three dynamic projects: the AIDEAS Project, s-X-AIPI and Circular TwAIn Project. The
In a landmark event, the AIDEAS Project consortium recently convened for its third plenary meeting at the prestigious ITI – Instituto Tecnológico de Informática. Partners from across the European landscape converged to explore the expansive potential of artificial intelligence (#AI) in revolutionizing the life cycle of industrial machinery and equipment.
The AIDEAS Project has also been present at the 24th Working Conference on Virtual Enterprises (PRO-VE 2023), held in Valencia in Universitat Politècnica de València between September 27th and 29th, through the presentation made by Beatriz Andrés from CIGIP-UPV. The PRO-VE 2023 conference analyzed and discussed the contribution of collaborative networks to
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)
