Openfund

CORDIS · BRAINE

Big data pRocessing and Artificial Intelligence at the Network Edge

Code
BRAINE
Programme
H2020
Call
ECSEL-RIA-2019-2-Special-Topic-2
Status
CLOSED
Period
2020-05-01 – 2023-11-30
Total cost (whole consortium)16 330 499 €
EU contribution (whole consortium)4 752 312 €
EU contribution to Bulgarian participants29 125 €

Official data · CORDIS · synced 2026-10-17 10:16 · official record

Participants

OrganisationsRoleCountryGrant
CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI (CNIT)coordinatorIT250 250 €
MELLANOX TECHNOLOGIES LTD - MLNXparticipantIL719 525 €
PCB DESIGN KUTATO ES FEJLESZTO KORLATOLT FELELOSSEGU TARSASAGparticipantHU354 969 €
TECHNISCHE UNIVERSITEIT EINDHOVENparticipantNL316 346 €
JJ COOLING INNOVATION SARLparticipantCH270 501 €
COMCORES APSparticipantDK257 325 €
EMC INFORMATION SYSTEMS INTERNATIONAL UNLIMITED COMPANYparticipantIE230 938 €
INFINEON TECHNOLOGIES AGparticipantDE188 808 €
SCUOLA SUPERIORE DI STUDI UNIVERSITARI E DI PERFEZIONAMENTO S ANNAparticipantIT185 938 €
ECCENCA GMBHparticipantDE162 750 €
GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVERparticipantDE154 544 €
IMC- INDUSTRIAL MANAGEMENT CONSULTING SLOVAKIA, S.R.O.participantSK138 750 €
ITALTEL S.P.A.participantIT130 980 €
NEC LABORATORIES EUROPE GMBHparticipantDE122 954 €
HIRO MICRODATACENTERS B.V.participantNL122 100 €
HELDER INNOVATION + DEVELOPMENTparticipantNL108 750 €
WIND TRE SPAparticipantIT107 500 €
UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORKparticipantIE102 201 €
KRADIENT INTELLIGENCE OYparticipantFI101 250 €
BUDAPESTI MUSZAKI ES GAZDASAGTUDOMANYI EGYETEMparticipantHU100 188 €
SMA-RTYparticipantFR99 375 €
PIETRZYK SLAWOMIRparticipantPL97 125 €
FACTORIO SOLUTIONS SROparticipantCZ88 912 €
SECURE-IC SASparticipantFR87 390 €
SYNANO BVparticipantNL83 738 €
CESKE VYSOKE UCENI TECHNICKE V PRAZEparticipantCZ83 562 €
BETA TLC SPAparticipantIT56 520 €
VMWARE BULGARIA EOODparticipantBG29 125 €

Description

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.

Official data · CORDIS · synced 2026-10-17 10:16 · official record · Licence: © European Union, CC BY 4.0 (Commission reuse policy).