2020-2023 PLANET4 / Lean Academy

2020-2023 PLANET4

red. Dorota Stadnicka

PLANET4

Practical Learning of Artificial iNtelligence on the Edge for indusTry 4.0

2020-2023

Project No 621639-EPP-1-2020-1-IT-EPPKA2-KA

Aim of the Project

PLANET4 aims at training a new generation of AI and ML on the edge experts who will contribute to the spreading of the I4.0 real practices in the EU companies by enabling the use of AI and ML for the optimization of industrial processes. PLANET4 experts will lead this disruptive change thanks to a set of hard and soft skills they will be trained on during the course.

Especially when it comes to fulfilling the increasing needs regarding I4.0, a Uni-Business integrated approach is necessary in order to combine the theoretical knowledge with its practical application. A renovated educational offer should include hard and soft skills, mind-set and professional attitude, providing the participants with the necessary tools to work in groups towards realistic goals, evaluate situations, seek solutions and bring about innovation and topical issues.

RESEARCH RELATED TO

Artificial Intelligence, Machine Learning, Internet of Things, Edge Computing

To better prepare European students to work in industry using emerging technologies such as Artificial Intelligence, Machine Learning, Internet of Things and Edge Computing, PLANET4 is conducting a study to identify:

Current industrial challenges - Questionnaire for Companies,
Knowledge about emerging technologies transferred to students - Questionnaire for Academics,
Students’ current knowledge about emerging technologies - Questionnaire for Students.

We invite you to take part in the research.

Publications related to the project:

Dec G, Stadnicka D, Paśko Ł, Mądziel M, Figliè R, Mazzei D, Tyrovolas M, Stylios C, Navarro J, Solé-Beteta X. Role of Academics in Transferring Knowledge and Skills on Artificial Intelligence, Internet of Things and Edge Computing. Sensors. 2022; 22(7):2496. https://doi.org/10.3390/s22072496
Kubiak K, Dec G, Stadnicka D. Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review. Sensors. 2022; 22(7):2445. https://doi.org/10.3390/s22072445
Paśko, Ł.; Mądziel, M.; Stadnicka, D.; Dec, G.; Carreras-Coch, A.; Solé-Beteta, X.; Pappa, L.; Stylios, C.; Mazzei, D.; Atzeni, D. Plan and Develop Advanced Knowledge and Skills for Future Industrial Employees in the Field of Artificial Intelligence, Internet of Things and Edge Computing. Sustainability 2022, 14, 3312. https://doi.org/10.3390/su14063312

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Project Partners

Università di Pisa (Italy)
Politechnika Rzeszowska im. Ignacego Łukasiewicza (Poland)
Universitat Ramon Llull (Spain)
University of Ioannina (Greece)
ValueDo srl (Italy)
Kaunas Science and Technology Park (Lithuania)
TOI S.R.L (Italy)
Bobst Germany (Germany)
Elecnor S.A. (Spain)
OHS Ltd (Germany)
Exquisite (Romania)