EdgeAI is as a key initiative for the European digital transition towards intelligent processing solutions at the edge. The EdgeAI project ensures that Europe has the necessary tools, skills, and technologies to strengthen its edge AI design and development capabilities. By enhancing AI-based electronic components and systems, edge processing platforms, AI frameworks and middleware, and methodologies (to ease, advance and tailor the design of neural networks to the edge), the project supports the development of edge AI vertical solutions. For these edge AI vertical solutions to advance in security, trust, and energy efficiency across infrastructure and industrial sectors in Europe and democratize the deployment of AI across ever-larger segments of EU R&D and industry.
Vision: is to contribute towards the creation of a resilient, resource-efficient and sustainable society by bringing excellence and innovation to the development of advanced edge AI technologies and applications.
Mission: To accelerate edge AI design, innovation, development, and deployment in Europe in different strategic industrial application areas, supporting the twin green and digital transitions.
- To create a new framework embedding intelligence at the edge, and strengthening the development of low-power, real-time, energy-efficient AI hardware, embedded AI and software addressing multiple computing paradigms across the edge continuum.
- To increase energy efficiency, improve processing capability, increase trustworthiness, and reduce the CO2 footprint of embedded edge AI applications across multiple industrial sectors.
- To foster a dynamic edge AI European ecosystem based on the AI technology stack and digital value chains across industrial sectors and increased competence and skills, leading to new industrial applications and new market opportunities for Europe.
- To advance research and innovation in edge AI-based technologies, new processor architectures, electronic components and systems, tools, AI-design methods, and middleware that guarantee security, trust and energy efficiency for infrastructures and industrial sectors across Europe.
In this project, EDI leads the mobility value chain (VC4 mobility) and two demonstrators of this value chain, VCD4.1 – “Cognitive Mobile Multi-Agent Platform” and VCD4.2 – “Roadside Perception Units Connected with a LoRa 2.4 GHz Mesh Network”. Within the VCD4.1, a deep learning-based system will be developed with partners from Belgium to give mobile agents perception and action capabilities. The system will be supplemented with modular, low-level response capabilities and AI-based route planning capabilities for multi-agent operations. Within the VCD4.2, stationary agents with low power consumption will be developed with partners from Germany and Greece, connected to the LoRa network and equipped with AI-based processing of sensor information.