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| Funder | European Commission |
|---|---|
| Recipient Organization | Rise Research Institutes of Sweden Ab |
| Country | Sweden |
| Start Date | May 01, 2021 |
| End Date | Dec 31, 2024 |
| Duration | 1,340 days |
| Number of Grantees | 49 |
| Roles | Participant; Third Party; Coordinator |
| Data Source | European Commission |
| Grant ID | 101007273 |
The use of artificial intelligence (AI) in Edge computing is entering a new era based on the use of ubiquitous small and connected devices.
Until now, Europe has not been doing well, as America sets the standards and most components are produced in Asia or America.
This project believes doing better is realized by (1) Putting European values of self-organization, privacy by design and low use of energy in the core of the Edge Computing components that shape this new era, and delivering the technology needed to promote these values; (2) Focusing on pan European cooperation to ramp up the capabilities needed to deliver these new components at a scale that can make a real impact.
Europe does not have huge IT leaders so cooperation from a very early phase is key.
All partners in the project participate in delivering key parts of these new Edge Computing components; and (3) Demonstrating the use of these components in key European industrial areas.
Clear and early examples are needed to un-lock corporate and external funding to deliver on the promise of this very exciting project.The DAIS project will research and deliver distributed artificial intelligent systems.
It will not research new algorithms, as such, but solves the problems of running existing algorithms on these vastly distributed edge devices that are designed based on the above three European core values. The research and innovation activities are organized around eight complementary and mutually supportive supply chains.
Five of these focus on delivering the hardware and software that is needed to run industrial-grade AI on different types of networking topologies.
Three of the supply chains demonstrate how known AI challenges, from different functional areas, are met by this pan European effort.The DAIS project consists of 48 parties from 11 different countries. The DAIS project fosters cooperation between large and leading industrial players from different domains.
Tpv Automotive, Tovarna Avtomobilskih Komponent D.O.O.; Cosylab Laboratorij Za Kontrolne Sisteme Dd; Expert Analytics Gmbh; Universitaet Siegen; Instituto de Telecomunicacoes; Sirris Het Collectief Centrum Van de Technologische Industrie; Sestek Ses Ve Iletisim Bilgisayar Teknolojileri Sanayi Ticaret Anonimsirketi; Tecnologias Servicios Telematicos Ysistemas Sa; Stichting Imec Nederland; Eventigrate; Anywi Technology Bv; Beyond Vision - Sistemas Moveis Autonomos de Realidade Aumentada Lda; Institut Jozef Stefan; Step Solutions As; Almende Bv; Fundacion Centro Tecnoloxico de Telecomunicacions de Galicia; Jotne Connect As; Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev; Arctos Labs Scandinavia Ab; Universidad de Granada; Institut Mikroelektronickych Aplikaci Sro; Sensative Ab; Technicka Univerzita V Liberci; Vestel Elektronik Sanayi Ve Ticaret Anonim Sirketi; Rise Research Institutes of Sweden Ab; Akim Metal Sanayi Veticaret As; Vysoke Uceni Technicke V Brne; Safran Electronics & Defense Spain Sociedad Limitada; Esc Aerospace Gmbh; Nxp Semiconductors Germany Gmbh; Nuromedia Gmbh; Innatera Nanosystems Bv; Schneider Electric Espana Sa; Koala Tech Lda; Greensphere Unipessoal Lda; Nxp Semiconductors Netherlands Bv; Giesecke+Devrient Mobile Security Gmbh; Pdm E Fc-Projecto Desenvolvimento Manutencao Formacao E Consultadoria S.A.; Danmarks Tekniske Universitet; Instituto Tecnologico de Informatica; Universidad de Cantabria; Malardalens Universitet; Technische Universiteit Eindhoven; Universitaet Zu Luebeck; Danfoss Power Electronics As; Octavic Pts Aps; Technische Universiteit Delft; Tieto Sweden Ab; Expert Analytics As
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