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Edge AI Technologies for Optimised Performance Embedded Processing
| Funder | European Commission |
|---|---|
| Recipient Organization | Sintef As |
| Country | Norway |
| Start Date | Dec 01, 2022 |
| End Date | Dec 31, 2025 |
| Duration | 1,126 days |
| Number of Grantees | 48 |
| Roles | Third Party; Participant; Associated Partner; Coordinator |
| Data Source | European Commission |
| Grant ID | 101097300 |
Grant Description
EdgeAI is as a key initiative for the European digital transition towards intelligent processing solutions at the edge.EdgeAI will develop new electronic components and systems, processing architectures, connectivity, software, algorithms, and middleware through the combination of microelectronics, AI, embedded systems, and edge computing.
EdgeAI will ensure that Europe has the necessary tools, skills, and technologies to enable edge AI as a viable alternative deployment option to legacy centralised solutions, unlocking the potential of ubiquitous AI deployment, with the long-term objective of Europe taking the lead of Intelligent Edge.
EdgeAI will contribute to the Green Deal twin transition with a systemic, cross-sectoral approach, and will deliver enhanced AI-based electronic components and systems, edge processing platforms, AI frameworks and middleware.
It will develop methodologies to ease, advance and tailor the design of edge AI technologies by co-ordinating efforts across 48 of the brightest and best R&D organizations across Europe.
It will demonstrate the applicability of the developed approaches across a variety of vertical solutions, considering security, trust, and energy efficiency demands inherent in each of these use cases.EdgeAI will significantly contribute to the grand societal challenge to increase the intelligent processing capabilities at the edge.
All Grantees
Nxtenergy As; Compagnie Vranken; Technische Universitaet Wien; Scm Group Spa; Institut Polytechnique de Grenoble; Infineon Technologies Austria Ag; Charokopeio Panepistimio; Synsense Ag; Information Technology for Market Leadership; Technext; Almende Bv; Nxtech As; Commissariat A L Energie Atomique Et Aux Energies Alternatives; Interuniversitair Micro-Electronica Centrum; Universite de Reims Champagne-Ardenne; Universita Degli Studi Di Cagliari; High Technology Systems Hts Srl; Deepsensing S.R.L.; Xtremion Engineering Srl; Neurocontrols Gmbh; Sintef As; Universite Polytechnique Hauts-de-France; Stmicroelectronics Rousset Sas; G.N.T. Systimata Pliroforikis Ae; Ams-Osram Ag; Nxp Semiconductors Germany Gmbh; Cognition Factory Gmbh; Csr Consorzio Studi E Ricerche Srl; Nxp Semiconductors Netherlands Bv; Vranken-Pommery Production; Technolution Bv; Imst Gmbh; Universita Degli Studi Di Milano; Alma Mater Studiorum - Universita Di Bologna; Fredrikstad Energi As; Prolux As; Elektronikas Un Datorzinatnu Instituts; Sygklisi Astiki Mi Kerdoskopiki Etaireia; Stmicroelectronics Grenoble 2 Sas; Vphv; Technische Universiteit Eindhoven; Stmicroelectronics Srl; Centre National de la Recherche Scientifique CNRS; Universitaet Zu Luebeck; Elliniko Mesogeiako Panepistimio; Signify Netherlands Bv; Softwarecube Scp Gmbh; Ams International Ag
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