Evaluation Management System

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AI REDGIO 5.0 - 2nd Open Call

Call identifier: AI REDGIO 5.0 - 2nd Open Call

Publication date: 2024-09-27

Status: Closed

Opening date: 2024-09-27 12:00:00 (Brussels time)

Closing date: 2024-12-16 12:00:00 (Brussels time)

Call general details Thematic areas Supporting documentation

Call Summary

AI REDGIO 5.0. aims at reinforcing the alliance between Vanguard European regions and EDIH for the adoption of AI-at-the-Edge by European manufacturing SMEs. This project gravitates towards the fulfilment of three main goals:
• Enabling the evolution of Manufacturing SMEs towards Industry 5.0.
• Evolution of cloud AI Technologies to AI-at-the-Edge procedures.
• Evolution and adaptation of H2020 programme into Horizon and Digital Europe programmes.

The objective for the second open call of AI REDGIO 5.0 project is to select up to 10 SME-driven experiments focused on the implementation of AI at the Edge and Industry 5.0 systems with the aim of improving existing solutions, products or processes in the manufacturing area. Additionally, the open call will contribute to extend the domains of AI REDGIO 5.0 and benefit directly manufacturing SMEs and small mid-caps.

Call Keywords

AI-on-Demand platform
Circularity
WISE Aspects
Human well-being
Digital Product Passport (DPP)
HBR Collaborative Intelligence
TERESA: Technological Regulatory Sandbox
Human robot interaction
Industry 5.0
AI-driven Autonomous System
Collaborative Intelligence
Manufacturing Data Spaces
Data4AI pipelines
Data Sets
Industrial Data Platforms
Business and Governance
AI at the Edge

AI REDGIO 5.0 - 2nd Open Call

Topics:

TOPIC 1: AI-at-the-Edge – convergence between Data and AI continuum, Cloud, Edge, IoT technologies

AI plays a vital role in manufacturing, particularly when used at the edge, as emphasised in AI REGDIO 5.0. The goal is to showcase how edge-to-cloud computing can enhance manufacturing by leveraging frameworks and AI models that enable local execution, offering benefits like low latency, reduced data transfer, and enhanced data privacy.

In dynamic environments, data quality and pipeline monitoring are critical, requiring new approaches such as data observation techniques. Selected experiments must focus on real-life cases that involve AI execution at the edge or in hybrid cloud-edge infrastructures, while addressing data quality challenges. Applicants are encouraged to deploy edge environments, such as AI-REDGIO Open Hardware, and contribute AI models to the AI-on-Demand platform.

Applications of interest include, but are not limited to, the use of AI for predictive and prescriptive maintenance, automation, manufacturing operations planning, waste reduction, energy efficiency, etc.

Keywords:HBR Collaborative IntelligenceTERESA: Technological Regulatory SandboxHuman robot interactionIndustry 5.0AI-driven Autonomous SystemCollaborative IntelligenceManufacturing Data SpacesData4AI pipelinesData SetsIndustrial Data PlatformsBusiness and GovernanceAI at the EdgeAI-on-Demand platformCircularityWISE AspectsHuman well-beingDigital Product Passport (DPP)

TOPIC 2: Industry 5.0 Human Centric and Sustainable-Circular Manufacturing and WISE principles

Industry 5.0 focuses on sustainability, circularity and resilience, prioritising human well-being alongside productivity and efficiency. It aims to integrate humans into factories through distributed production, intelligent supply chains and hyper-customisation, fostering flexibility and adaptability.

Experiments should explore how Industry 5.0 and human-centred digitalisation improve worker well-being, safety and environmental sustainability, showcasing real-world use cases. Emphasis should be placed on AI solutions for circular manufacturing, addressing problems like data quality and creating trustworthy AI models.

Experiments should solve real industry challenges, demonstrating measurable business and technical benefits. Industry 5.0 envisions a workplace where humans and AI-driven machines collaborate closely considering ethical and regulatory. The "WISE" aspects should be a focus, ensuring human rights are respected in the shift towards collaborative human-machine environments.