51 measures on artificial intelligence for citizens and businesses: Flemish, Brussels, Walloon, federal and EU, with conditions, amounts and deadlines.
47 measures
The objective is to deliver three to four projects that demonstrate the streamlining of regulatory reporting through automated and trusted sharing of compliance data. Each project will addr…
na Outcomes and deliverables - One or more proofs-of-concept of replicable, scalable cloud-based AI/GenAI systems for analysis of medical imaging data in a healthcare setting, with demonstr…
- Initiatives implemented for the target audience to collect knowledge on learning needs in the area of AI uptake in health. - Training programmes in the area of advanced digital skills for…
Deliverables: - Three open calls for pilots (at least one call per year) launched and managed providing financial support to third parties to at least 20 EdTech start-ups/SMEs from ac…
- Availability and integration of advanced, trustworthy, energy-efficient perception systems, exploiting technological advancements of Generative AI (GenAI) to enhance situational awareness…
- Development of systems that utilize real-time data analytics to dynamically respond to disruptions, allowing transport and infrastructure operators to adjust operations swiftly and effici…
- Faster and more informed decision-making through the use of an AI-driven NAM (AI Foundation Toxicology Model) and increased efficiency through rapid processing of vast amounts of data [1]…
Grant from EIT INNOBC (EU-funded project) across the EU. Total budget €50,000. Applications until 21 October 2026.
- A common EU evaluation platform for AI chips and racks, with transparent KPIs, workloads and benchmark reports used for Chips JU selection and procurement decisions. - First pilot deploym…
- Functional demonstrators of working AI chip prototypes (PCB-level) designed by EU fabless companies and physically integrated with their system partners. - Validation of AI chip solutions…
The resulting portfolio will not only advance the scientific state-of-the-art but also build a robust, interoperable, and application-driven community, positioning Europe at the forefront o…
Grant from BATTLEVERSE (EU-funded project) across the EU. Total budget €1,200,000. Applications until 16 November 2026.
Grant from UPRAISE (EU-funded project) across the EU. Total budget €20,000. Applications until 18 November 2026.
This action builds on the MSCA Doctoral Networks 2026 call (HORIZON-MSCA-DN-2026). - New research and transferable skills and competences in the application of AI in science, leading to imp…
- Effective and innovative methods for gathering, sharing and using large data sets in energy applications for the purpose of training AI models while ensuring privacy and security. - Advan…
- Support the adoption of market-ready innovative AI-powered cybersecurity solutions, including solutions developed in the framework of EU-supported research and innovation projects. - Prov…
- Deployment of Artificial Intelligence and various AI-powered technologies as enablers for Cyber Hubs, CSIRTs, NCSCs, NIS SPOCs and others. - Novel cybersecurity tools based on AI that hav…
- Secure Data Sharing Framework: Develop standardised and encrypted communication mechanisms to facilitate seamless data exchange between civilian and military stakeholders. These mechanism…
- Integration of quantum computing into data pre-processing pipelines and learning workflows for data-heavy or computationally intensive tasks, demonstrating clear improvements in processin…
- Industrial jobs are transformed through AI-based human-machine interactions (and skills linked to them) which enhance flexibility, inclusion, well-being, up-skilling, career evolution and…
- Development of closed-loop scientific experimentation systems that integrate automation with AI-driven, trustworthy decision-making processes in existing laboratory environments; - Accele…
- Development of closed-loop scientific experimentation systems that integrate automation with AI-driven, trustworthy decision-making processes in existing laboratory environments; - Accele…
Project results are expected to contribute to developing new approaches, tools and techniques that overcome the obstacles of today's centralised AI compute techniques: limits in the availab…
- Demand-side driven validation of open orchestration platforms across the telco-cloud edge continuum unlocking notably the transformative value of AI for European businesses, driving busin…