The dAIEDGE Network of Excellence (NoE) seeks to strengthen and support the development of a dynamic European cutting-edge AI ecosystem under the umbrella of the European Lighthouse for AI, and to sustain the development of advanced AI.
dAIEDGE fosters the exchange of ideas, concepts, and trends on cutting-edge next generation AI, creating links between ecosystem actors to help both the European Commission (EC) and the European Union (EU) and the peripheral AI constituency identify strategies for future developments in Europe.
The 2nd dAIEDGE Collaborative Projects will aim to solve the Industrial Challenges defined by the dAIEDGE Consortium, with the possibility of using resources from the dAIEDGE Virtual Lab or adding new resources to it or to re-use developments of the dAIEDGE project or dAIEDGE use-cases. Participants can submit a proposal for research and development activities to solve or push forward the research in the identified Challenges.
List of dAIEDGE industrial challenges :
1. Mobile concealed weapon detection
2. Continual Learning for edge-based Robotics: 3D Environment Exploration and Reconstruction using
gradient-free Variational Techniques.
3. Smart and Adaptive AI Agents at the Edge: real-time Active Inference for IoT and Robotics
4. Integration of an AI-powered Edge Device to the Vlab for remote benchmarking
5. Cloud-to-Edge AI-Powered Solution for Plant Disease and Pest Detection with BioClip Integration
6. Energy-Efficient Deployment of AI Models on Edge Devices Using FPGAs
7. SAFE AI – Enhancing AI Model Predictions Through Synthetic Data and Domain Knowledge Integration
8. Very low consumption of speech enhancement AI algorithm at the edge
9. Off-Chip Weights for Streaming Architectures
10. 2D Vehicle Detection Network on PYNQ-Z1
11. Real-Time Vision Transformer (ViT) on FPGA SoC for Image Classification
12. Spiking Neural Networks (SNNs) on the edge
13. Energy efficient Text Embeddings inference at the edge
14. Automated Edge deployment, tuning and Performance Evaluation of Binary Neural Networks targeting FPGA enabled platform.
15. Deploying LLMs on Low-Memory Edge Devices
16. Developing an Early Warning System for Harmful Algal Blooms Using Earth Observation Data
17. Edge AI framework for web browsers empowering Federated Machine Learning applications addressing Classification problems over multiple format data (text and images)
18. Machine Learning Benchmarks for On-Board Processing in Space Applications
19. Incentivisation framework on blockchain for optimizing AI development
20. Planning and Scheduling for Space Observations at the Extreme Edge
Each third-party project selected under dAIEDGE Collaborative Projects Open Call can receive a maximum amount of up to €60 000. The Support Programme will last up to 7 months and include the following stages:
● Stage 1: Plan Phase, during which the beneficiary should deliver an Individual Mentoring Plan (including planned activities, KPIs, milestones and budget). The duration of this stage is up to 1 month and, after completing it, the beneficiary will receive a maximum amount of up to €9 000.
● Stage 2: Implementation Phase, which should lead to a Proof of Demonstration. The duration of this stage is up to 6 months and, after completing it, the beneficiary will receive a maximum amount of up to €51 000.
During the two stages of the dAIEDGE Collaborative Projects Support Programme the beneficiaries will receive technical mentoring from dAIEDGE technical experts. They will be supported with the project’s development and demonstration of the added value of their solutions to address the dAIEDGE Industrial Challenges
dAIEDGE Consortium encourages the use of Open Source Software and Hardware Solutions. The activities within the dAIEDGE Project should start at a Technological Readiness Level (TRL) of 2-3 and to achieve a TRL 4-5.
Who can apply?
dAIEDGE Collaborative Projects Open Call looks for legal entities, applying individually or as a consortium of up to 2 entities.
The eligible entities are:
i. Research and Technology Organisations (RTO),
ii. Academia or
iii. SMEs, including Startups, legally registered as a company at the moment of the application submission to this Open Call, registered in one of the following eligible countries:
● EU Member States and its Overseas Countries and Territories (OCT), or
● Horizon Europe Associated Countries.
