Openfund

CORDIS · BRAINE

Big data pRocessing and Artificial Intelligence at the Network Edge

Код
BRAINE
Програма
H2020
Процедура
ECSEL-RIA-2019-2-Special-Topic-2
Статус
CLOSED
Период
01.05.2020 – 30.11.2023
Обща стойност (целият консорциум)16 330 499 €
Принос на ЕС (целият консорциум)4 752 312 €
Принос на ЕС за българските участници29 125 €

Официални данни · CORDIS · синхронизирано 17.10.2026 10:16 · официален запис

Участници

ОрганизацииРоляДържаваБезвъзмездна помощ
CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI (CNIT)координаторIT250 250 €
MELLANOX TECHNOLOGIES LTD - MLNXучастникIL719 525 €
PCB DESIGN KUTATO ES FEJLESZTO KORLATOLT FELELOSSEGU TARSASAGучастникHU354 969 €
TECHNISCHE UNIVERSITEIT EINDHOVENучастникNL316 346 €
JJ COOLING INNOVATION SARLучастникCH270 501 €
COMCORES APSучастникDK257 325 €
EMC INFORMATION SYSTEMS INTERNATIONAL UNLIMITED COMPANYучастникIE230 938 €
INFINEON TECHNOLOGIES AGучастникDE188 808 €
SCUOLA SUPERIORE DI STUDI UNIVERSITARI E DI PERFEZIONAMENTO S ANNAучастникIT185 938 €
ECCENCA GMBHучастникDE162 750 €
GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVERучастникDE154 544 €
IMC- INDUSTRIAL MANAGEMENT CONSULTING SLOVAKIA, S.R.O.участникSK138 750 €
ITALTEL S.P.A.участникIT130 980 €
NEC LABORATORIES EUROPE GMBHучастникDE122 954 €
HIRO MICRODATACENTERS B.V.участникNL122 100 €
HELDER INNOVATION + DEVELOPMENTучастникNL108 750 €
WIND TRE SPAучастникIT107 500 €
UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORKучастникIE102 201 €
KRADIENT INTELLIGENCE OYучастникFI101 250 €
BUDAPESTI MUSZAKI ES GAZDASAGTUDOMANYI EGYETEMучастникHU100 188 €
SMA-RTYучастникFR99 375 €
PIETRZYK SLAWOMIRучастникPL97 125 €
FACTORIO SOLUTIONS SROучастникCZ88 912 €
SECURE-IC SASучастникFR87 390 €
SYNANO BVучастникNL83 738 €
CESKE VYSOKE UCENI TECHNICKE V PRAZEучастникCZ83 562 €
BETA TLC SPAучастникIT56 520 €
VMWARE BULGARIA EOODучастникBG29 125 €

Описание

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.

Официални данни · CORDIS · синхронизирано 17.10.2026 10:16 · официален запис · Лиценз: © European Union, CC BY 4.0 (Commission reuse policy).