Statistics
months
Duration
million
Budget
Partners
Countries
December
Start
June
End
EdgeAI Objectives
The EdgeAI strategic goals are realised through a set of strategic objectives, as illustrated in Figure 1-4. These objectives reflect the way in which EdgeAI consortium delivers processing solutions for AI at the edge addressing the design stack and middleware across multiple industrial sectors including mobility, digital industry, energy, agri-food and environmental protection and digital society.
EdgeAI developments implement applications across the edge continuum (micro, deep, meta-edge), to deploy functionality defined by processing requirement, latency, reliability, energy efficiency and performance.
Objective 1
| Develop secure AI–based edge platforms for end–to– end hardware/software solutions addressing the AI design stack and middleware. |
Objective 2
| Provide scalable edge AI– based energy–efficient techniques, methods and frameworks supporting different OSs and hardware platforms. |
Objective 3
| Advance multi core SoC and SoM AI–based designs with embedded hybrid architectures, connectivity and IIoT devices for industrial environments. |
Objective 4
| Integration of scalable and modular AI Co–design: hardware/software, algorithms, topologies into novel AI open architecture platforms. |
Objective 5
| Implementation of reconfigurable AI–based architectures for increasing the re–use, updatability, upgradability and service life of AI. |
Objective 6
| Provide trustworthy and explainable edge–AI by design solutions with real– time operation capabilities and dynamic online learning. |
EdgeAI Value Chains
The EdgeAI project accelerates the edge AI-based digitisation of design, manufacturing, and business processes with edge AI integration throughout the complete edge continuum by implementing the edge AI technology developed in five value chains (VCs).
The five value chains (digital industry, energy, agri-food and beverage, mobility, and digital society) are focussed on common research topics delivering demonstrators in their respective fields. By harmonizing the development schedules of each value chain through the work packages the findings within each value chain are shared within the consortium, fostering knowledge exchange.
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