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Empowering Edge AI with Systolic Arrays

Project description

New acceleration tech for data processing

Data processing at the edge faces challenges due to computational limitations in edge devices. Traditional approaches frequently struggle to keep up with the high computational demands of certain applications. This shortfall is especially problematic for computationally intensive applications with real time requirements, such as indoor asset tracking. With the support of the Marie Skłodowska-Curie Actions programme, the EDGE-SA project aims to address these issues by investigating innovative processing architectures based on systolic array topologies using evolvable hardware techniques. These architectures are designed to enhance data processing capabilities and complement existing technologies like artificial neural networks. A key target use case will be the development of high precision indoor tracking solutions, aiming to fill the current gap in commercial offerings.

Objective

The primary aim of EDGE-SA is to investigate the potential suitability and applications of Systolic Arrays (SA) and Evolvable Hardware (EHW) as acceleration solutions for data processing challenges that demand extensive computation at the edge, especially crucial for resource-constrained devices. These technologies can serve as supporting mechanisms alongside existing technologies like Artificial Neural Networks (ANN). Additionally, indoor tracking of assets is considered as a real-world application context to enhance and validate the research since, at present, there is no reliable commercial solution available in the market that can deliver high accuracy.

Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2023-PF-01

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Coordinator

N-VISION SYSTEMS AND TECHNOLOGIES SL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 165 312,96
Address
CARRER DE LA CREUETA, 28
08700 IGUALADA
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Este Cataluña Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

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