Semantic Low-code Programming Tools for Edge Intelligence
Acronym
SMARTEDGE
Description of the granted funding
The objective of the SMARTEDGE project is to enable the dynamic integration of decentralised edge intelligence at runtime while ensuring reliability, security, privacy and scalability. We will achieve this by enabling a semantic-based interplay of the edge devices of such systems via a cross-layer toolchain that facilitates the seamless and real-time discoverability and composability of autonomous intelligence swarm. Hence, an application can be freely built by distributing the processing, data fusion and control across heterogeneous sensors, devices and edges with ubiquitous low-latency connectivity. The goal of this project is to develop a SMARTEDGE solution with a low-code tool programming environment with various tools: (1) Continuous Semantic Integration (CSI); (2) Dynamic Swarm Network (DSW); and (3) Low-code Toolchain for Edge Intelligence. CSI allows the SMARTEDGE solution to interact with devices according to a (i) standardized semantic interface, via a (ii) continuous conversion process based on declarative mappings and scalable from edge to cloud, and (iii) providing a declarative approach for the creation and orchestration of apps based on swarm intelligence. DSW provides (i) automatic discovery and dynamic network swarm formation in near real time, (ii) hardware-accelerated in-network operations for context-aware swarm networking, and (iii) embedded network security. The low-code tool chain provides (i) semantic-driven multimodal stream fusion for Edge devices; (ii) swarm elasticity via Edge-Cloud Interplay; (iii) adaptive coordination and optimization; (iv) cross-layer toolchain for Device-Edge-Cloud Continuum. The SMARTEDGE solution will be comprehensively demonstrated over four application areas: automotive, city, factory and heath via the strong collaboration of eight industrial partners, Dell, Siemens, Bosch, IMC, Conveq, Cefiel and NVIDIA with eight research institutes.
Show moreStarting year
2023
End year
2025
Granted funding
Conveqs Oy
602 500 €
Participant
IMC- INDUSTRIAL MANAGEMENT CONSULTING SLOVAKIA, S.R.O. (SK)
288 250 €
Participant
EMC INFORMATION SYSTEMS INTERNATIONAL (IE)
827 750 €
Participant
MELLANOX TECHNOLOGIES LTD - MLNX (IL)
515 625 €
Participant
HAUTE ECOLE SPECIALISEE DE SUISSE OCCIDENTALE (CH)
Participant
GEIE ERCIM (FR)
458 750 €
Participant
CEFRIEL SOCIETA CONSORTILE A RESPONSABILITA LIMITATA (IT)
329 500 €
Participant
CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI (IT)
555 000 €
Coordinator
UNIVERSITE DE FRIBOURG (CH)
Participant
ROBERT BOSCH GMBH (DE)
618 275 €
Participant
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. (DE)
766 250 €
Participant
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD (UK)
Participant
TECHNISCHE UNIVERSITAT BERLIN (DE)
1 097 579.75 €
Participant
SIEMENS AKTIENGESELLSCHAFT (DE)
835 410.25 €
Participant
Amount granted
7 353 640 €
Funder
European Union
Funding instrument
HORIZON Research and Innovation Actions
Framework programme
Horizon Europe (HORIZON)
Call
Programme part
Digital, Industry and Space (11704 Advanced Computing and Big Data (11711 )
Topic
Programming tools for decentralised intelligence and swarms (RIA) (HORIZON-CL4-2022-DATA-01-03Call ID
HORIZON-CL4-2022-DATA-01 Other information
Funding decision number
101092908
Identified topics
research, development, innovation