The European Network of Excellence "dAIEDGE" promotes the application of Artificial Intelligence (AI) on edge computing platforms. By combining edge computing and AI (Edge AI), devices can make decisions in a few milliseconds by processing data directly at the point of origin - without insecure connections, high latency, large energy overheads or costs due to transmission. Edge AI is therefore a pathfinder and accelerator for many new applications in areas such as autonomous driving, personalized digital assistance and intelligent service robots.
As part of the European Union's initiative "European Network of AI Excellence Centres: Expanding the European AI lighthouse", the new network is intended to create a lighthouse within international AI initiatives. dAIEDGE stands for "A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge".
Under the leadership of the German Research Center for Artificial Intelligence, experts in artificial intelligence, embedded computing, microprocessors, distributed hardware and software, computer science, and engineering will work closely together to
- mobilize the AI and edge community,
- connect al-on-demand platforms, digital innovation centers, and AI and Edge projects with relevant stakeholders,
- initiate European partnerships and projects,
- provide ideas, tools, services, guidelines and trends to support the next generation of Edge AI technologies.
Advanced edge AI technologies for different industries
To accelerate digital and green transformation through advanced AI technologies, applications and innovations, dAIEDGE builds on the existing assets and strengths of European industry. The main objective is to support and ensure rapid development and market adoption of distributed edge AI technologies, such as hardware, software, frameworks and tools. The applications of dAIEDGE are expected to be used in a wide range of fields, such as the Internet of Things (IoT), intelligent transportation systems, robotics, and healthcare. "The development of smart edge devices increases drastically their ability to make complex decisions autonomously and respond to real-time data. This is the basis for a dynamic AI ecosystem with distributed, trustworthy, efficient and scalable AI methods," says Prof. Didier Stricker, head of research lab Augmented Vision at consortium leader DFKI in Kaiserslautern.
The network has a project volume of €14.4 million, of which €10.7 million is funded by the European Union. dAIEDGE will work closely with major European AI initiatives such as HumanE-AI-Net, CLAIRE, ELLIS and AI4EU. To support the mobility of scientists through research exchanges and to carry out industrial research projects, the Network of Excellence will support 30 projects through the publication of three open calls for a total funding of 1.8 million euros.
Partners:
Aegis Rider, Bonseyes Community Association, Blekinge Institute of Technology, Commissariat à l'Energie Atomique et aux énergies alternatives, Centre d'excellence en technologies de l'information et de la communication, Centre Suisse d'Electronique et de Microtechnique CSEM, Deutsches Forschungszentrum für Künstliche Intelligenz, Deutsches Zentrum für Luft- und Raumfahrt e.V., ETH Zürich, Fraunhofer Gesellschaft, FundingBox Accelerator SP, Foundation for Research and Technology - Hellas, Haute école spécialisée de Suisse, HIPERT SRL, imec, Institut national de recherche en informatique et automatique, INSAIT - Institute for Computer Science, Artificial Intelligence and Technology, IoT Digital Innovation Hub, Katholieke Universiteit Leuven, NVISO, SAFRAN Electronics and Defense, SINTEF AS, Sorbonne Université, CNRS, ST Microelectronics, Synopsys International Limited, Thales, Ubotica Technologies Limited, University of Castilla-La Mancha, The University of Edinburgh, University of Glasgow, University of Modena and Reggio Emilia, University of Salamanca, Varjo Technologies, VERSES Global B.V., Vicomtech