dAIEDGE 3rd open call

Objectif

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 3rd dAIEDGE Collaborative Projects Open Call aims to distribute up to 600.000 € among up to 10 Proposals to solve the Industrial Challenges defined by the dAIEDGE Consortium. Selected proposals will also have a possibility to use resources from the dAIEDGE Virtual Lab, to add new resources to it, or to re-use developments of the dAIEDGE project or dAIEDGE use-cases.
The dAIEdge-VLab aims to implement a collaborative platform that enables Researchers and Developers to conduct experiments and research across various edge AI domains and edge AI devices.

The open call aims to expand the role of the dAIEDGE Network of Excellence in the edge AI continuum, encompassing micro-, deep-, and meta-edge, with a focus on standardisation, open-source contributions, and infrastructure development. Participants can submit a proposal for research and development activities to solve or push forward the research in the identified Challenges.

Critères d'éligibilité

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.

All entities must be 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.

Technologies clés

List of dAIEDGE industrial challenges :
1. Balancing Energy Efficiency and Trustworthiness in Federated Learning Across the Edge–Cloud Continuum
2. Enabling On-Device Training Support in TFLite Micro for Resource-Constrained Edge Devices
3. Very low consumption of speech enhancement AI algorithm at the edge
4. High-Performance Bayesian-based AI Agents for Embedded Intelligence in Smart Environments
5. Towards a Unified Semantic and Hyperspatial World Model: Enabling Smart Edge Systems through Domain-Aware Graphs and Agent Governance
6. Automated Edge deployment, tuning and Performance Evaluation of Binary Neural Networks targeting FPGA enabled platform
7. Towards Automatic DMWay Configuration with Generative AI
8. Health Monitoring AI for Edge Devices with Privacy-First
9. Edge AI framework for web browsers empowering Federated Machine Learning applications addressing Classification problems over multiple format data (text and images)
10. Off-Chip Weights for Streaming Architectures
11. 2D Vehicle Detection Network on PYNQ-Z1
12. Real-Time Vision Transformer (ViT) on FPGA SoC for Image Classification
13. Generative AI for object detection in Edge scenarios

Typologie de consortium

Beneficiaries will enrol in an up to 7 months Technical Support Programme, receiving technical mentoring from dAIEDGE experts for the development of their projects. Each third-party project can receive a maximum lump sum of up to €60 000.

● 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.