BRAINE: Big data pRocessing and Artificial Intelligence at the Network Edge
- Project category EU Horizon 2020
- Lab/Research Area Telecommunications, Computer Engineering, and Photonics Institute (TeCIP) InReTe Laboratory
- Expected funding €345 312
- Costo complessivo €531 250
- Project partner IS-Wireless (Polonia)
- Project partner Comcores (Danimarca)
- Project partner HIRO-MicroDatacenters BV (Olanda)
- Project partner Mellanox Technologies LTD (Israele)
- Project partner EMC Information Systems International (Irlanda)
- Project partner PCB Design Kft (Ungheria)
- Project partner NEC Laboratories Europe (Germania)
- Project partner Leibniz Universität Hannover (Germania)
- Project partner Secure-IC (Francia)
- Project partner SixSq (Svizzera)
- Project partner eccenca GmbH (Germania)
- Project partner Wind Tre S.p.A. (Italia)
- Project partner IMC - Industrial Management Consulting s.r.o. (Slovacchia)
- Project partner Italtel S.p.A. (Italia)
- Project partner VMware Bulgaria EOOD
- Project partner jjcool (Svizzera)
- Project partner Budapesti Muszaki es Gazdasagtudomanyi Egyetem
- Project partner Eindhoven University of Technology (Olanda)
- Project partner Infineon AG (Germania)
- Project partner Helder-ID (Olanda)
- Project partner MarshallAI (Finlandia)
- Project partner University of Cork (Irlanda)
- Project partner Czech Technical University Prague
- Project partner Institute for Informatics
- Project partner Robotics
- Project partner and Cybernetics (Repubblica Ceca)
- Project partner Factorio Solutions (Repubblica Ceca)
- Project partner Synano (Olanda)
- Project partner Sma-rty (Francia)
- Principal investigator Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT)
- SSSA involvement Partner
- Sponsor Commissione Europea
- Sponsor Ministero dell'Università e della Ricerca - MIUR
Project Web Page: https://www.braine-project.eu/
The BRAINE project’s overall aim is to boost the development of the Edge framework and, specifically, energy efficient hardware and AI empowered software systems, capable of processing Big Data at the Edge, supporting security, data privacy and sovereignty.
BRAINE provides a new vision for utilizing edge resources by providing novel network-edge workload distribution schemes. Predicting resource availability and workload demand, identifying trends, and taking proactive actions are all aspects of the novel workload distribution. The workload distribution technology developed in the context of BRAINE can be transferred to many other edge/fog computing environments to achieve different goals. Last but not least, BRAINE will have an important positive impact on the environment. Through BRAINE, edge computing can reduce this projected energy consumption by offloading many of the AI functions next to the end-users.
BRAINE will demonstrate edge computing enabling AI through four use cases: healthcare assisted living (case 1), hyperconnected smart city (case 2), robotics in Factory 4.0 (case 3) and supply chain Industry 4.0 (case 4); the use cases are supported by organizations with specific domain expertise.