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Financement de l’UE (5 998 086 €) : Analyse de données multimodale à grande échelle pour les environnements de villes intelligentes Hor07/08/2020 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
Analyse de données multimodale à grande échelle pour les environnements de villes intelligentes
The “Smart City” paradigm aims to support new forms of monitoring and managing of resources as well as to provide situational awareness in decision-making fulfilling the objective of servicing the citizen, while ensuring that it meets the needs of present and future generations with respect to economic, social and environmental aspects. Considering the city as a complex and dynamic system involving different interconnected spatial, social, economic, and physical processes subject to temporal changes and continually modified by human actions. Big Data, fog, and edge computing technologies have significant potential in various scenarios considering each city individual tactical strategy. However, one critical aspect is to encapsulate the complexity of a city and support accurate, cross-scale and in-time predictions based on the ubiquitous spatio-temporal data of high-volume, high-velocity and of high-variety. To address this challenge, MARVEL delivers a disruptive Edge-to-Fog-to-Cloud ubiquitous computing framework that enables multi-modal perception and intelligence for audio-visual scene recognition, event detection in a smart city environment. MARVEL aims to collect, analyse and data mine multi-modal audio-visual data streams of a Smart City and help decision makers to improve the quality of life and services to the citizens without violating ethical and privacy limits in an AI-responsible manner. This is achieved via: (i) fusing large scale distributed multi-modal audio-visual data in real-time; (ii) achieving fast time-to-insights; (iii) supporting automated decision making at all levels of the E2F2C stack; and iv) delivering a personalized federated learning approach, where joint multi modal representations and models are co-designed and improved continuously through privacy aware sharing of personalized fog and edge models of all interested parties.
| Aarhus Universitet | 334 610 € |
| Atos IT Solutions And Services Iberia SL | 0,00 € |
| Atos Spain SA | 355 000 € |
| AUDEERING GmbH | 329 850 € |
| Comune Di Trento | 185 000 € |
| Consiglio Nazionale Delle Ricerche | 412 500 € |
| Fondazione Bruno Kessler | 390 000 € |
| Greenroads Ltd. | 265 000 € |
| Idryma Technologias Kai Erevnas | 506 250 € |
| INFINEON TECHNOLOGIES AG | 407 500 € |
| Information Technology FOR Market Leadership | 433 750 € |
| Instytut Chemii Bioorganicznej Polskiej Akademii Nauk | 224 000 € |
| Netcompany SA | 345 000 € |
| Privanova SAS | 222 500 € |
| SPHYNX TECHNOLOGY SOLUTIONS AG | 490 000 € |
| TAMPEREEN KORKEAKOULUSAATIO sr | 326 250 € |
| Univerzitet U Novom Sadu Fakultet Tehnickih Nauka | 307 551 € |
| Zelus ΙΚΕ | 463 325 € |
https://cordis.europa.eu/project/id/957337
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.
