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| Funder | European Commission |
|---|---|
| Recipient Organization | Tttech Auto Germany Gmbh |
| Country | Germany |
| Start Date | May 01, 2024 |
| End Date | Apr 30, 2027 |
| Duration | 1,094 days |
| Number of Grantees | 52 |
| Roles | Third Party; Participant; Associated Partner; Coordinator |
| Data Source | European Commission |
| Grant ID | 101139892 |
EdgeAI-trust aims to develop a domain-independent architecture for decentralized edge AI along with HW/SW edge AI solutions and tools, which enable fully collaborative AI and learning at the edge.
The edge AI technologies address key challenges faced by Europe's industrial and societal sectors such energy efficiency, system complexity and sustainability.
EdgeAI-trust will enable large-scale edge AI solutions that enable interoperability, upgradeability, reliability, safety, security and societal acceptance with a focus on explainability and robustness.
Toolchains will provide standardized interfaces for developing, optimizing and validating edge AI solutions in heterogeneous systems.
The generic results will be instantiated for automated vehicles, production and agriculture, thus offering innovation potential not only in the generic HW/SW technologies and tools, but also in the three target domains.
These technological innovations are complemented with business strategies and community building, ensuring the widespread uptake of the innovations in Europe.
EdgeAI-trust will establish sustainable impact by building open edge AI platforms and ecosystems, with a focus on standardization, supply chain integrity, environmental impact, benchmarking frameworks, and support for open-source solutions.
The consortium consists of major suppliers and OEMs encompassing a broad range of application domains, supported by leading research and academic organizations.By embracing the opportunity to specialize in Edge AI, Europe can maintain its position in the global context, especially as it aligns with decentralized and privacy-driven European policy.
Furthermore, as AI is closely connected with the Green Deal, this project can provide proper solutions for environmental issues.
Ultimately, the project will enable AI to be connected with other strong sectors and industries, improving the innovation process and decision-making in Europe.
Compagnie Vranken; Universitaet Siegen; Asvin Gmbh; Avl Arastirma Ve Muhendislik Sanayi Ve Ticaret Limited Sirketi; Sirris Het Collectief Centrum Van de Technologische Industrie; Uyan Electronics Gmbh; Interactive Fully Electrical Vehicles Srl; Infineon Technologies Austria Ag; Nvidia Denmark Aps; Institut Jozef Stefan; Technext; Hochschule Hamm-Lippstadt; Neotera S.R.L.; Hochschule Offenburg; Infineon Technologies Ag; Universite de Reims Champagne-Ardenne; Rapita Systems Sl; Velti Platforms and Services Limited; Mulytic Ventures Gmbh; Smartsol Sia; Stmicroelectronics Rousset Sas; Zettascale Technology Sarl; Tttech Auto Germany Gmbh; Deutsches Zentrum Fur Luft - Und Raumfahrt Ev; Virtual Vehicle Research Gmbh; Fent Innovative Software Solutionssl; Ivex Nv; Vranken-Pommery Production; Avimecc Spa; Technica Electronics Barcelona Sl; Exida Development Srl; Tttechauto Spain S.L.U.; Avl List Gmbh; Tttech Auto Ag; Tttech Computertechnik Ag; Tegnology Aps; Iotam Internet of Things Applications and Multi Layer Development Ltd; Universitat Politecnica de Valencia; Clue Technologies Sl; Zf Friedrichshafen Ag; Hawai.Tech; Tofas Turk Otomobil Fabrikasi Anonim Sirketi; Stmicroelectronics Grenoble 2 Sas; Stmicroelectronics Srl; Buyutech Teknoloji Sanayi Ve Ticaret Anonim Sirketi; Medisys Monoprosopi Ike; Zurcher Hochschule Fur Angewandte Wissenschaften; Elliniko Mesogeiako Panepistimio; Smart Kontrol Sistemleri Ve Yazilim Anonim Sirketi; Miromico; Solver Machine Learning Sl; Barcelona Supercomputing Center Centro Nacional de Supercomputacion
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