F6S NETWORK IRELAND LIMITED

6G envisions unprecedented requirements for immersive, hyper-reliable, ubiquitous and low-latency connectivity together with dynamic sensing and AI-native capabilities across diverse and complex propagation environments. However, traditional waveforms and signal processing methods struggle to meet these requirements, especially under high mobility, interference, scalability and energy efficiency constraints. Furthermore, exploitation of MIMO (multiple input, multiple output) antenna technologies such as extremely large antenna arrays causes energy consumption bottlenecks as the number of RF chains scales-up. Hence, significant new innovations in signal and waveform design/processing, will be needed to meet the ambitious sustainability, performance, and standardization and backward compatibility goals of 6G. To address these challenges, a new pan-European consortium has been established to put forth this proposal, bringing together leading experts from a range of complementary disciplines, including RF and analogue circuit design, antenna systems, multidimensional signal processing, machine learning, and communication networks.   MULTIPLY-6G aims to develop advanced multidimensional waveform technologies, low-complexity extreme large arrays, and advanced spectrum sharing techniques, in an Open RAN (O-RAN) framework. This approach could unlock unprecedented levels of area spectral efficiency, energy efficiency and communication link reliability for wireless networks beyond 5G. It explores a revolutionary approach towards multi-dimensional waveform processing/design, by channel representation in delay, Doppler, and wavenumber domains, ensuring compatibility with standard wireless protocols. ,

EC contribution:

EUR 313k

Start:

2026-06-01

End:

2029-05-31

Status:

SIGNED

Scheme:

HORIZON-JU-RIA

Call:

HORIZON-JU-SNS-2025-01

View on CORDIS (DOI 10.3030/101293106)

RISE-SME aims at developing a model that can assist companies in detecting and anticipating disruptions in their supply chains. The main outcome of RISE-SME is to build a methodology for different industrial ecosystems, that can identify disruptions and technological opportunities for the uptake of advanced technologies in SMEs, so as to enable flexible, agile and resilient supply chains that can easily be adapted. In order to do so, the following activities will be deployed: • Mapping of existing industrial ecosystems and its associated supply chain models, in order to identify critical dependencies and weaknesses in specific industrial ecosystem • Developing a methodology for detecting and anticipating disruptions with long term effects on the supply chain, to reduce strategic dependencies on critical products, especially on advanced technologies • Mapping and scouting advanced technologies and their associated solutions from technology suppliers that can help supply chain processes to be less uncertain and complex • Analysing existing technology gaps in several industrial ecosystems, leading to a matchmaking tool with tech-savvy and traditional SMEs • Building alliances among traditional and tech-savvy SMEs through cluster organisations and DIHs in the industrial ecosystem, resulting into the launch of a pilot in each one of the ecosystems The project consortium will leverage their knowledge on supply chain and their reach to key supply chain actors, traditional SMEs and technology suppliers. The involvement of technology partners and entities representing tech-savvy SMEs will ensure a thorough consideration of the following advanced technologies: robotics, AI, IoT, Blockchain, edge computing, AR/VR solutions, B2B digital platforms, Big Data/analytics technology, 3D printing, advanced materials, micro- and nanoelectronics, nanotechnologies and photonics, among others.

EC contribution:

EUR 304k

Start:

2024-01-01

End:

2026-12-31

Status:

SIGNED

Scheme:

HORIZON-CSA

Call:

HORIZON-CL4-2023-RESILIENCE-01

View on CORDIS (DOI 10.3030/101138645)

TITAN will enrich the EOSC Interoperability Framework (IF) with a software platform solution for confidential data collaboration and secure and privacy-preserving data processing. The platform will enable access to sensitive data sets from public entities and government agencies and will be compatible by design with the EOSC IF on the technical, semantic, organisational and legal layers. To promote community adoption of TITAN’s open-source software artefacts, the solution will be practically demonstrated in several vertical cross-border scenarios - notably in the public administration and healthcare sector

EC contribution:

EUR 301k

Start:

2024-02-01

End:

2027-01-31

Status:

SIGNED

Scheme:

HORIZON-RIA

Call:

HORIZON-INFRA-2023-EOSC-01

View on CORDIS (DOI 10.3030/101129822)

CLIMOS aims to assist mitigation of climate- and climate change-induced emergence, transmission and spread of vector-borne and zoonotic pathogens based on Eco-health and One Health approaches. This will be achieved by quantifying climate and environmental-related drivers of sand fly vector populations and the sand fly-borne diseases (SFBDs) across Europe. The project will provide an Early Warning System (EWS) and decision support frameworks for more accurate climate and health modelling, prognosis of infection risk and range expansions, and adaptation options. Socio-economic analysis and risk assessments will inform decision support providing social and cost-benefit evaluations. Towards these goals, an open access interactive CLIMOS online platform will be developed containing data on vector and SFBD species geography and up-to-date monitoring, climate, environment, and mathematical algorithms. The accompanying educational platform will enable evidence-based mitigation decision-making by social, environmental and financial stakeholders, public bodies and policy makers. CLIMOS will generate science-based predictions, actions and policy-relevant recommendations to mitigate climate change-induced emergence and spread of SFBDs, by providing: precision vector and infection surveillance methods and networks across 14 countries; creation of big data time series (on vectors, disease, micro and macroclimate, environment and health, and on infection risk) to be available also for use at the EU Climate and Health Observatory, and as European Commission ISA JoinUP open-source tool for public and healthcare; new interoperability data ontologies (Open Biological and Biomedical Ontology [OBO] and Open Geospatial Consortium [OGC] for SFBDs and climate); new innovative technical solutions for vector monitoring (new trapping solution and EWS components); and at least 30 peer-reviewed open access publications, 3 policy reports, and diversity of public engagement materials. Project CLIMOS is part of the European cluster on climate change and health.

EC contribution:

EUR 293k

Start:

2022-09-01

End:

2026-05-31

Status:

SIGNED

Scheme:

HORIZON-RIA

Call:

HORIZON-HLTH-2021-ENVHLTH-02

View on CORDIS (DOI 10.3030/101057690)

Artificial Intelligence (AI) and Generative AI (GenAI) development faces critical Software Engineering challenges (e.g., performance, modularity, automation, trustworthiness…) that hinder EU SMEs and small research groups from taking the global lead and threaten EU sovereignty. OptimAIse addresses these challenges by delivering a scalable, modular, and interoperable reference architecture that leverages European hardware to enable efficient and simplified large language model deployments. A flexible framework – aimed to deliver streamlined operations and greater productivity for developers – combines an adaptive orchestration engine (continuous performance optimisation with energy and sustainability guardrails) with tools embedding explainability, robustness and fairness as core artefacts. Besides, an end-to-end cryptographically secure traceability infrastructure ensures transparency, reproducibility, and compliance with the EU AI Act. The OptimAIse approach will be validated in relevant environment (TRL6) over industrial use cases, showcasing specific challenges for GenAI in healthcare and robotics, also involving an AI Factory within the development and validation processes. Led by key actors in the field, a thorough evaluation using qualitative and quantitative indicators through 2 rounds of pilots will allow adjustments and refinement towards improvement, further adoption, scalation, and re-adaptation to different scenarios, opening tangible exploitation pathways. A multi-disciplinary consortium of 7 SMEs – including a leading accelerator network – 3 research centres, 1 university, and 2 public administrations join forces, leveraging their expertise and experience in past and ongoing projects – also boosting synergies in dissemination, communication and exploitation actions – to ensure the successful achievement of the objectives, positioning Europe at the forefront of high-performance and trustworthy GenAI.

EC contribution:

EUR 281k

Start:

2026-06-01

End:

2029-05-31

Status:

SIGNED

Scheme:

HORIZON-RIA

Call:

HORIZON-CL4-2025-04

View on CORDIS (DOI 10.3030/101296742)

Artificial Intelligence and Robotics brings an immense potential across many sectors for improved standards of living, safer mobility, better healthcare, new jobs, or the personalization of public services. However, it presents huge challenges, especially regarding trust and performance reliability, that prevents the wide uptake of these technologies. There is an urgent need to establish a participatory methodology that can bring together industry, academia, and society to make noteworthy scientific advancements in key AI domains and to guarantee the widespread adoption of these advancements to enhance Europe's competitiveness. Open innovation competitions have been proven to be successful in promoting innovation, attracting new talent, and securing capital in various fields. However, the main problems with the European open innovation landscape include a) High Fragmentation: initiatives and organizations operating independently; b) Isolated initiatives: lack of collaboration between stakeholders; c) Lack of sustainable funding models for open innovation: challenge for the long-term viability of these initiatives and the results uptake; c) Lack of a sound impact measurement methodology: challenge to demonstrate the value of these initiatives to stakeholders. The goal of the AIBOOST project is to establish a prominent open challenge prize program that will serve as a benchmark for the European artificial intelligence (AI) community aimed at achieving these impacts: I1) Enabling scientific breakthrough in major AI areas by attracting the best research teams to join forces.; I2) Contributing to the effort of unlocking AI, robotics and data innovations uptake across several sectors and applications through collaboration and co-creation.; I3) Boosting AI talent uptake by EU industry engaging in the competitions students and new rising starts, I4) Increasing private investment in AI research providing attractive and sound approaches.

EC contribution:

EUR 270k

Start:

2023-09-01

End:

2027-02-28

Status:

SIGNED

Scheme:

HORIZON-CSA

Call:

HORIZON-CL4-2023-HUMAN-01-CNECT

View on CORDIS (DOI 10.3030/101135737)

The path towards 6G is beginning now that 5G matured and is being deployed worldwide both publicly and privately. While 5G brought a step up in many fields, such as, performance and efficiency, more is always expected in terms of efficiency by the overall community and in terms of performance by industry and technology providers who want to further increase their offerings and products. Continuous demands for higher throughput, lower latency and more energy efficient communications needs to be supported by relevant use cases that can claim and demonstrate the needs for these requests. 6G-PATH goal is to help foster the further development and integration of new and improved tools and products from EU companies with 5G/6G, while also measuring relevant KPIs and KVIs. To achieve this, 7 testbeds will be part of the project consortium, which will be used by 10 use cases spread across four key verticals: Health, Education, Smart Cities and Farming. Moreover, a relevant portion of the budget will be used for FSTP, where we envision the integration of 2 new Pilot Sites, extend the testbeds with 10 additional technologies, as well as 30 new Use Cases, through Open Calls, to further involve the community and obtain more metrics and outcomes. 6G-PATH plans to work closely with other ongoing/starting Stream-B and Stream-C projects in a feedback loop, where the innovations that partners are achieving in other projects can be deployed and further tested by our pool of use cases and Open Calls, while sharing our results and outcomes to further cement the innovation being made.

EC contribution:

EUR 255k

Start:

2024-01-01

End:

2026-12-31

Status:

SIGNED

Scheme:

HORIZON-JU-IA

Call:

HORIZON-JU-SNS-2023

View on CORDIS (DOI 10.3030/101139172)

Manufacturing and logistics companies are subject to unforeseen events that disrupt the supply chain, causing production slowdowns, reduced output, and increased costs, making it difficult to meet customer demand. To mitigate these risks, manufacturers must build resilience across entire value chains. NARRATE will develop a sophisticated tool using AI, Digital Twin, and IoT technologies allowing end-to-end visibility and control over supply chain operations to monitor and predict potential disruptions, enabling supply chains to achieve improved resilience. The Intelligent Manufacturing Custodian (IMC) will leverage data from various production sources to enable proactive decision-making and act as a nerve centre for a supply-chain network, providing real-time monitoring and coordination of intelligent production processes and logistics. Integrating an IMC into a supply-chain will evolve its operations into Smart Manufacturing Network (SMN): a connected and self-orchestrated ecosystem linked end-to-end with programmable Manufacturing-as-a-Service capabilities that can withstand disruptions. A Digital Twin will provide a reliable model to represent production and operational data of an SMN to unlock deeper IMC intelligence. Collected data will train machine learning models to predict potential disruptions, such as natural disasters or delayed shipments. AI algorithms will analyse the data and provide real-time reporting and visualization on a dashboard. The IMC and Digital Twin interaction will generate powerful insights and self-adapting abilities that support an SMN to evolve under human supervision by switching services between multiple external partners to respond to risks and disruptions and improve energy efficiency, product circularity and environmental sustainability across the entire production process. The effectiveness of NARRATE will be evaluated by testing the IMC in real production environments in quite diverse industry sectors.

EC contribution:

EUR 239k

Start:

2023-12-01

End:

2027-02-28

Status:

SIGNED

Scheme:

HORIZON-RIA

Call:

HORIZON-CL4-2023-TWIN-TRANSITION-01

View on CORDIS (DOI 10.3030/101138094)

I-SEAMORE is an Ecosystem composed of an advanced platform solution to host and manage the operation of several innovative assets, services and systems that aim to provide European Authorities with increased situational awareness and operational capabilities for Maritime surveillance operations resorting to aerial and water surface support. The core platform (infrastructure and software layers) is conceptualized to be deployed and operated at Maritime Operation Centres (MOCs) with interfaces to other systems including the UxVs Ground Control Stations (GCSs), as well as external systems. It thus provides end-users with a holistic platform capable of handling several multipurpose tasks including, e.g., wide maritime border and coastal areas monitoring, analysis of potential threats, support to search and rescue operations, detection of illegal activities, among others. Such tasks will be possible since I-SEAMORE platform provides a complete set of functionalities and capabilities to mission commanders, focusing on 4 main pillars: 1) employment and indirect tasking of multiple types of long-endurance Unmanned Assets (aerial and water surface), 2) exploitation of heterogeneous data sources e.g. payload data and open data sources including Copernicus Services, 3) provision of a common operational picture empowered by a novel and comprehensive suite of data fusion services based on Artificial Intelligence (AI) and Big Data Analysis, for optimal decision making and successful mission execution of the desired missions, and 4) interoperability within the Ecosystem and its interface with key existing external systems. Moreover, the project will also generate additional knowledge to support the uptake of the solution at EU level, as well as multi-country, multi-authority collaboration, including novel concepts of operation, standard operating procedures for joint operations, and new methodologies for co-creation and validation of maritime security solutions by end-users.

EC contribution:

EUR 238k

Start:

2023-01-01

End:

2025-10-31

Status:

SIGNED

Scheme:

HORIZON-IA

Call:

HORIZON-CL3-2021-BM-01

View on CORDIS (DOI 10.3030/101073911)

European materials industry is considered a key enabler for industrial development and the EU has a historically strategic position in this sector. However, there is a low uptake in European materials industry for digital technologies. Hereby, it is crucial to provide all stakeholders of the EU with advanced digital technologies to evolve towards an agile European materials industry with intelligent enterprises that maximise and integrate the utility of digital materials sciences knowledge. DiMAT will develop Open Digital Tools with a set of advanced technologies for offering European SMEs and Mid-Caps an affordable (in terms of cost, implementation and usability) full modelling, simulation and optimisation system in each stage of the material value chain (design, processing and manufacturing) for improving quality, sustainability, effectiveness, and competitiveness of materials. DiMAT will deploy 3 integrated Suites: 1) DiMAT Data and Assessment Suite: digital technologies for storing, sharing, representing and assessing materials data; 2) DiMAT DiMAT Modelling and Design Suite: digital technologies for material design, in terms of their internal structure, properties and performance, in order to predict the material behaviour before manufacturing; 3) DiMAT Simulation and Optimisation Suite: digital technologies for creating efficient materials manufacturing simulation processes and determining the behaviour of the material mechanical characterization models to be used in the AI training and prediction. The DiMAT Suites will be demonstrated in 4 Pilots of European designers and producers of different materials: textile, composite, glass and graphite.

EC contribution:

EUR 228k

Start:

2023-01-01

End:

2025-12-31

Status:

SIGNED

Scheme:

HORIZON-IA

Call:

HORIZON-CL4-2022-RESILIENCE-01

View on CORDIS (DOI 10.3030/101091496)

VOXReality is an ambitious project whose goal will be to facilitate and exploit the convergence of two important technologies, natural language processing (NLP) and computer vision (CV). Both technologies are experiencing a huge performance increase due to the emergence of data-driven methods, specifically machine learning (ML) and artificial intelligence (AI). On the one hand, CV/ML are driving the extended reality (XR) revolution beyond what was possible up to now, and, on the other, speech-based interfaces and text-based content understanding are revolutionising human-machine and human-human interaction. VOXReality will employ an economical approach to combine these two. VOXReality will pursue the integration of language- and vision-based AI models with either unidirectional or bidirectional exchanges between the two modalities. Vision systems drive both AR and VR, while language understanding adds a natural way for humans to interact with the back-ends of XR systems or create multimodal XR experiences combining vision and sound. The results of the project will be twofold: 1) a set of pretrained next-generation XR models combining, in various levels and ways, language and vision AI and enabling richer, more natural immersive experiences that are expected to boost XR adoption, and 2) a set of applications using these models to demonstrate innovations in various sectors. The above technologies will be validated through three use cases: 1) Personal Assistants that are an emerging type of digital technology that seeks to support humans in their daily tasks, with their core functionalities related to human-to-machine interaction; 2) Virtual Conferences that are completely hosted and run online, typically using a virtual conferencing platform that sets up a shared virtual environment, allowing their attendees to view or participate from anywhere in the world; 3) Theaters where VOXReality will combine language translation, audiovisual user associations and AR VFX triggered by predetermined speech.

EC contribution:

EUR 223k

Start:

2022-10-01

End:

2025-12-31

Status:

SIGNED

Scheme:

HORIZON-RIA

Call:

HORIZON-CL4-2021-HUMAN-01

View on CORDIS (DOI 10.3030/101070521)

XR has the potential to revolutionize various industrial sectors by offering more engaging, secure, and inclusive training and assistance for complex tasks thus enabling more people to acquire the skills required to perform such tasks. However, the creation of such XR experiences is still overly complex, time consuming, and expensive thus blocking their wide adoption in industrial sectors that do not have the necessary expertise nor the resources to create and deploy them. The main objective of MOTIVATE XR is to create a world’s leading XR collaborative authoring, publishing, and experiencing tool suite for training and assistance to industrial operations such as the assembly, manufacturing, maintenance, and dismantlement, of industrial goods. This ground-breaking, open, tightly integrated, and highly interoperable solution will be designed for, and usable by a wide range of users without programming skills, from the largest European industrials to handywomen/handymen, without requiring software development skills.  It will offer an end-to-end solution to streamline the whole authoring and experiencing workflow thanks to novel portable 3D scanning and digital twin modelling solutions, No-Code authoring approaches and ground-breaking XR experiencing tools, including a next-gen European XR smart headset, all assisted by the latest advances in Artificial Intelligence (AI). It will then evaluate its result in five complementary and ambitious pilots in different industrial sectors including aerospace, home appliance, aluminium, electric distribution, and hybrid human-robot industries. For this purpose, our project will involve a complementary group of the best-in-class European experts and leading industries adopting a user-centric methodology coordinated by an SSH expert to ensure proper consideration of societal, ethical, and legal issues and ethical use of XR and AI technologies.

EC contribution:

EUR 199k

Start:

2024-06-01

End:

2027-05-31

Status:

SIGNED

Scheme:

HORIZON-IA

Call:

HORIZON-CL4-2023-HUMAN-01-CNECT

View on CORDIS (DOI 10.3030/101135963)

Buildings are responsible for over 40% of the energy consumption and CO2 emissions in EU. Accordingly, The CE has stablished ambitious building standard aiming to transform all existing buildings into ZEBs by 2050 to reach a fully decarbonised building stock. SNUG aims to demonstrate on three real buildings with different characteristics, uses and climatology, the application of an innovative methodology to support planners of new buildings or retrofitting works in selecting the most appropriate set of insulation materials, their combination and placement to maximise the energy efficiency and minimize GHG emissions of the building throughout its life cycle to make its ZEB rating more easily achievable, considering specific building characteristics and its environment, at an optimal cost level. This methodology will be supported by: -A Digital Tool Assistant based on AI and virtual simulation which will range several final options of thermal insulation materials and layouts, based on benchmarks predictions related with energy demand (operational and embedded energy), sustainability, safe & security and cost and particular features of buildings. -Innovative sustainable-by-design thermal insulation materials and lightweight prefab solutions ready to the market deployment, based on Circular Economy, Smart and/or Renewable materials, able to improve energy efficiency and sustainability of buildings in comparison with current market solutions at a competitive cost. -Insulation materials database, including technical and LCA information. Innovative thermal insulation solutions will be incorporated including current solutions in the market. This database will be released as an open data outcome. -A Digital Building Logbook, collecting all the information about the buildings throughout their whole life in a digital and interoperable format with BIM and the DTA. This DBL will facilitate decision making and information sharing within the construction sector and stakeholders

EC contribution:

EUR 113k

Start:

2023-11-01

End:

2027-04-30

Status:

SIGNED

Scheme:

HORIZON-IA

Call:

HORIZON-CL5-2022-D4-02

View on CORDIS (DOI 10.3030/101123150)

The future of media experiences is still to be written, and the maturity of eXtended Reality (XR) and Artificial Intelligence (AI) technologies provides a unique window of opportunity for the European Creative and Cultural Sector (CCS) to reimagine digital co-creation, interaction and engagement possibilities. TransMIXR, a consortium of eight representatives from the CCS and twelve leading industrial and academic partners, combines the necessary interdisciplinary skillsets and domain expertise to create a range of human-centric tools for remote content production and consumption via social virtual reality. The project’s TransMIXR platform will provide (i) a distributed XR Creation Environment that supports remote collaboration practices, and (ii) XR Media Experience Environment for the delivery and consumption of highly evocative and highly-social immersive media experiences. The ground-breaking AI techniques for the understanding and processing of complex media content will enable the reuse of heterogeneous assets across immersive content delivery platforms. Using the Living Labs methodology, TransMIXR will develop and evaluate four pilots that bring the vision of future media experiences to life in four CCS domains: (i) news media & broadcasting, (ii) performing arts, and (iii) cultural heritage. Additionally, the project will harness the creativity of the CCS and will forge interdisciplinary collaborations to demonstrate how immersive social experiences could be transferred to new application areas beyond the CCS. The results of the project will contribute to the Media and Audiovisual Action Plan from the European Commission, in particular boosting the adoption of XR technologies, opening new business models opportunities in new application areas and markets, and gaining worldwide leadership in XR technologies while being deeply grounded in European values such as veracity, diversity, connectedness and universality.

EC contribution:

EUR 106k

Start:

2022-10-01

End:

2025-12-31

Status:

SIGNED

Scheme:

HORIZON-IA

Call:

HORIZON-CL4-2021-HUMAN-01

View on CORDIS (DOI 10.3030/101070109)