Project description
Edge computing and AI technology for big data processing
Thanks to its multiple technical advantages, edge computing is capable of considerably boosting services and applications. It can do this by supporting AI natively instead of relying on the cloud. The EU-funded BRAINE project aims to further the development of edge computing by focusing on energy-efficient hardware and AI software that can process Big Data at the edge and support security, data privacy and sovereignty. To achieve its goal, it will build a seamless edge microdata centre interlinked with AI-enabled network interface cards. Through its work, the project will advance Europe’s position in intelligent edge computing and promote growth in sectors such as smart manufacturing, the Internet of Things, smart cities and smart healthcare.
Objective
Edge computing offers many technical advantages, e.g. reduced latency, secure decentralized processing and storage, scalability at lower complexity, versatility to adapt the changes in resources and applications, and increased reliability. Edge computing can dramatically boost services and applications by supporting artificial intelligence (AI) natively, instead of relying on the cloud. Edge computing supporting AI is the only technology that will enable many of the long-awaited game changers: Industry4.0 and smart manufacturing, 5G, IoT, self-driving vehicles, remote robotics for healthcare, and machine vision among others.
The BRAINE project’s overall aim is to boost the development of the Edge framework focusing on energy efficient hardware and AI empowered software, capable of processing Big Data at the Edge, supporting security, data privacy, and sovereignty. The approach is to build a seamless Edge MicroDataCenter interlinked with AI enabled network interface cards. BRAINE employs a visionary utilization method for edge resources management and network-edge workload distribution. Predicting resource availability and workload demand, identifying trends, and taking proactive actions are all aspects of these novel methods.
The impact of BRAINE encompasses advances in the European video distribution ecosystem, improving data processing at the network edge, and proving integrated AI for applications. These will lead to unprecedented savings in performance and energy efficiency: 2x performance/Watt and 50% energy savings; 71% latency reduction for an acceleration centric EMDC; 80% space and maintenance reduction, 99.999% fault tolerance with level 5 autonomy (autonomous driving, robotics, mission-critical system); and significantly faster infrastructure installation and deployment.
BRAINE boosts EU’s position in the intelligent edge computing field and enables growth across many sectors, e.g. manufacturing, smart healthcare, surveillance, satellite navigation.
Fields of science
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehicles
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5G
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- natural sciencescomputer and information sciencesdata sciencedata processing
Keywords
Programme(s)
Call for proposal
H2020-ECSEL-2019-2-RIA-two-stage
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H2020-ECSEL-2019-2-RIA
Funding Scheme
RIA - Research and Innovation actionCoordinator
43124 Parma
Italy
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participants (27)
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2800 Lyngby
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2273 AB Voorburg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20692 Yokneam
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P31 Ovens
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1117 Budapest
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
69115 Heidelberg
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30167 Hannover
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35510 Cesson-Sevigne
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
63178 Aubiere
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
04109 Leipzig
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20017 Rho Mi
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900 90 Dubova
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
56127 Pisa
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Participation ended
00139 Roma
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1797 Sofia
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1018 Lausanne
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1111 Budapest
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5612 AE Eindhoven
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85579 Neubiberg
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1332 AT Almere
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20100 TURKU
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
T12 YN60 Cork
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160 00 Praha
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250 67 Klecany
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2629 JD Delft
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00173 Roma
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