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Autonomous and Self-organized Artificial Intelligent Orchestrator for a Greener Industry 4.0

Descripción del proyecto

Una innovadora estructura de inteligencia artificial para la industria de nueva generación

Los conceptos pioneros de inteligencia artificial (IA), computación desde el borde a la nube, cadena de bloques y visualización deben aplicarse y reducirse sus riesgos para ayudar a los sistemas industriales de próxima generación a ofrecer una excelencia sin precedentes en rendimiento, explicabilidad, fiabilidad y transparencia. El proyecto TALON, financiado con fondos europeos, combinará las ventajas de la IA, las redes periféricas y en la nube, la cadena de bloques y los gemelos digitales para desarrollar una estructura de IA totalmente automatizada capaz de acercar la inteligencia al borde de forma flexible, adaptable, explicable y eficiente desde el punto de vista energético y de los datos. La estructura de TALON incluye un orquestador de IA para coordinar la red y los orquestadores de servicios y optimizar la relación entre el borde y la nube, un esquema de cadena de bloques jerárquico ligero para preservar la privacidad y la seguridad, y nuevos métodos de aprendizaje de transferencia y visualización potenciados por gemelos digitales.

Objetivo

Next-generation industrial systems promise to deliver unprecedented excellence not only in terms of performance, but also explainability, trustworthiness and transparency. To achieve this new objectives, state-of-the-art concepts of artificial intelligence (AI), edge-to-cloud (E2C) computing, blockchain, and visualisation need to be de-risked and applied. Motivated by this, TALON aims at sculpturing the road towards the next Industrial revolution by developing a fully-automated AI architecture capable of bringing intelligence near the edge in a flexible, adaptable, explainable, energy and data efficient manner. TALON architecture consists of three fundamental pillars: a) an AI orchestrator that coordinates the network and service orchestrators in order to optimise the edge vs cloud relationship, while boosting reusability of datasets, algorithms and models by deciding where each one should be placed; b) a lightweight hierarchical blockchain schemes that introduce new service models and applications under a privacy and security umbrella; and c) new digital-twin empowered transfer learning and visualization approaches that enhance AI trustworthiness and transparency. It combines the benefits of AI, edge and cloud networking, as well as blockchain and DTs, optimized by means of a) new key performance indicators that translate the AI benefits into insightful metrics; b) novel theoretical framework for the characterisation of the AI; c) blockchain used to deliver personalised & perpetual protection based on security, privacy and trust mechanisms; d) AI approaches for automatically and co-optimising edge and cloud resources as well as the AI execution nodes; e) semantic AI to reduce the learning latency and enhance reusability; and f) digital twins that visualize the AI outputs and together with human-in-the-loop approaches. All the technological breakthroughs are demonstrated, validated and evaluated by means of proof-of-concept simulation and four real-world pilots.

Coordinador

ENGINEERING - INGEGNERIA INFORMATICA SPA
Aportación neta de la UEn
€ 439 687,50
Dirección
PIAZZALE DELL'AGRICOLTURA 24
00144 ROMA
Italia

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Región
Centro (IT) Lazio Roma
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Enlaces
Coste total
€ 439 687,50

Participantes (14)

Socios (1)