Descrizione del progetto
Una nuova piattaforma di intelligenza artificiale potrebbe trasformare lo scambio di conoscenze
L’intelligenza artificiale (IA) è il motore software della quarta rivoluzione industriale, che arriverà a modificare il modo in cui viviamo e lavoriamo. Tuttavia, le tecnologie complesse e la mancanza di talenti qualificati rappresentano barriere al progresso dell’IA e, contestualmente, all’aumento della qualità dei prodotti e della sostenibilità aziendale. Il progetto knowlEdge, finanziato dall’UE, affronterà la necessità di nuove soluzioni di IA che siano agili, riutilizzabili, distribuite, scalabili, affidabili, sicure, standardizzate e collaborative. Il nuovo quadro proposto garantirà la gestione sicura dei dati distribuiti e favorirà lo scambio di conoscenze. Per raggiungere il suo obiettivo, il progetto combinerà tecnologie innovative derivanti dalla gestione dei dati, dall’analisi dei dati e dalla gestione della conoscenza.
Obiettivo
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.
Campo scientifico
Parole chiave
Programma(i)
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
02150 Espoo
Finlandia