Programme Category
Programme Name
Identifier Code
Call
Summary
dAIEDGE is a Network of Excellence (NoE) for distributed, trustworthy, efficient and scalable AI at the Edge.
The Collaborative Projects call aims 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.
Detailed Call Description
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) identify strategies for future developments in Europe.
Each single applicant or consortium must select and reply in its proposal to one of the following Industrial Challenges (details in Annex 1 of the Guide for Applicants):
- Mobile concealed weapon detection
- Continual Learning for edge-based Robotics: 3D Environment Exploration and Reconstruction using gradient-free Variational Techniques
- Smart andAdaptive AI Agents at the Edge: real-time Active Inference for IoT and Robotics
- Integration of an AI-powered Edge Device to the Vlab for remote benchmarking
- Cloud-to-Edge AI-Powered Solution for Plant Disease and Pest Detection with BioClip Integration
- Energy-Efficient Deployment of AI Models on Edge Devices Using FPGAs
- SAFE AI- Enhancing AI Model Predictions Through Synthetic Data and Domain Knowledge Integration
- Very low consumption of speech enhancement AI algorithm at the edge
- Off-Chip Weights for Streaming Architectures
- 2D Vehicle Detection Network on PYNQ-Z1
- Real-Time Vision Transformer (ViT) on FPGA SoC for Image Classification
- Spiking Neural Networks (SNNs) on the edge
- Energy efficient Text Embeddings inference at the edge
- Automated Edge deployment, tuning and Performance Evaluation of Binary Neural Networks targeting FPGA enabled platform.
- Deploying LLMs on Low-Memory Edge Devices
- Developing an Early Warning System for Harmful Algal Blooms Using Earth Observation Data
- Edge AI framework for web browsers empowering Federated Machine Learning applications addressing Classification problems over multiple format data (text and images)
- Machine Learning Benchmarks for On-Board Processing in Space Applications
- Incentivisation framework on blockchain for optimising AI development
- Planning and Scheduling for Space Observations at the Extreme Edge
The activities within the dAIEDGE Project should start at a Technological Readiness Level (TRL) of 2-3 and to achieve a TRL 4-5.
Call Total Budget
Financing percentage by EU or other bodies / Level of Subsidy or Loan
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.
Thematic Categories
- Education and training
- Research, Technological Development and Innovation
- Small-Medium Enterprises and Competitiveness
Eligibility for Participation
- Educational Institutions
- Legal Entities
- Other Beneficiaries
- Researchers/Research Centers/Institutions
- Small and Medium Enterprises (SMEs)
Eligibility For Participation Notes
dAIEDGE Collaborative Projects Open Call looks for legal entities, applying individually or as a consortium of up to 2 entities.
The eligible entities are:
- Research and Technology Organisations (RTO)
- Academia or
- SMEs (including startups) legally registered as a company at the moment of the application submission to this Open Call, which will delegate its individual Researcher or PhD Student.
Call Opening Date
Call Closing Date
EU Contact Point
For all call related questions, please use the following email: dAIEDGE.help@fundingbox.com