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

Project description

Innovative AI architecture for next-generation industry

Pioneering concepts of artificial intelligence (AI), edge-to-cloud (E2C) computing, blockchain, and visualisation need to be de-risked and applied to help next-generation industrial systems deliver unprecedented excellence in performance, explainability, trustworthiness and transparency. The EU-funded TALON project will combine the benefits of AI, edge and cloud networking, blockchain, and digital twins to develop an entirely automated AI architecture capable of bringing intelligence near the edge in a flexible, adaptable, explainable, energy and data efficient manner. TALON architecture includes an AI orchestrator to coordinate the network and service orchestrators and optimise the relationship between edge and cloud, a lightweight hierarchical blockchain scheme to preserve privacy and security, and new digital-twin-empowered transfer learning and visualisation methods.

Objective

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.

Coordinator

ENGINEERING - INGEGNERIA INFORMATICA SPA
Net EU contribution
€ 439 687,50
Address
PIAZZALE DELL'AGRICOLTURA 24
00144 ROMA
Italy

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Region
Centro (IT) Lazio Roma
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 439 687,50

Participants (14)

Partners (1)