knowlEdge

Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop]
Project ID
Funding Organization:
Funding Programme:
H2020-ICT-38-2020: Artificial intelligence for manufacturing
Funding Instrument:
Research & Innovation Action
Start Date:
01/01/2021
Duration:
36 months
Total Budget:
5,996,151 EUR
ITI Budget:
654,000 EUR
Scientific Responsible:

AI is one of the biggest mega-trends towards the 4th industrial revolution. While these technologies promise business sustainability and product/process quality, it seems that the ever-changing market demands and the lack of skilled humans, in combination with the complexity of technologies, raise an urgent need for new suggestions. Suggestions that will be agile, reusable, distributed, scalable, accountable, secure, standardized and collaborative. To break the entry barriers for these technologies and unleash their potential, the knowlEdge project will develop a new generation of AI methods, systems and data management infrastructure. This framework will provide means for the secure management of distributed data and the computational infrastructure to execute the needed analytic algorithms and redistribute the knowledge towards a knowledge exchange society. To do so, knowlEdge proposes 6 major innovations in the areas of data management, data analytics and knowledge management: (i) A set of AI services that allow the usage of edge deployments as computational and live data infrastructure, an edge continuous learning execution pipeline; (ii) A digital twin of the shop-floor to test the AI models; (iii) A data management framework deployed from the edge to the cloud ensuring data quality, privacy and confidentiality, building a data safe fog continuum; (iv) Human-AI Collaboration and Domain Knowledge Fusion tools for domain experts to inject their experience into the system to trigger an automatic discovery of knowledge that allows the system to adapt automatically to system changes; (v) A set of standardization mechanisms for the exchange of trained AI-models from one context to another; (vi) A knowledge marketplace platform to distribute and interchange AI trained models. The knowlEdge consortium consists of 12 partners from 7 EU countries, and its solution will be tested and evaluated in 3 manufacturing sectors.

CERTH/ITI Role

CERTH will undertake the responsibility for coordinating and monitoring WP7 – A 2-Axis DSF (Decision Support Framework) for improved process & product quality. It will also contribute to the design and implementation of the knowlEdge Decision Support System (DSS) and support the definition and architecture design of the open innovation platform. Further to that, CERTH will lead the implementation of a curated decentralized marketplace for practical AI algorithms and solutions, the data management, regulations and ethics, while it will also participate in other tasks.

Consortium

Teknologian tutkimuskeskus VTT – Finland
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. – Germany
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS – Greece
NEXTWORKS – Italy
UNIVERSITAT POLITECNICA DE CATALUNYA – Spain
BARCELONA SUPERCOMPUTING CENTER – CENTRO NACIONAL DE SUPERCOMPUTACION – Spain
INFORMATION CATALYST FOR ENTERPRISE LTD – United Kingdom
WESTFAELISCHE WILHELMSUNIVERSITAET MUENSTER – Germany
FONDAZIONE LINKS – LEADING INNOVATION & KNOWLEDGE FOR SOCIETY – Italy
PARMALAT SPA – Italy
KAUTEX TEXTRON GMBH & CO KG – Germany
BONFIGLIOLI SLOVAKIA SRO – Slovakia

Contact

Dr. Konstantinos Votis
(Scientific Responsible)
Building A - Office 2.8

Information Technologies Institute
Centre of Research & Technology - Hellas
6th km Harilaou - Thermis, 57001, Thermi - Thessaloniki
Tel.: +30 2311 257722
Fax: +30 2310 474128
Email: kvotis@iti.gr

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