Software Infrastructure – Multimodal Data Fusion and Analytics Group

MaaSAI

MaaSAI MaaSAI | Agile Manufacturing as a Service through AI Autonomous Agents The goal of the project is the creation of the MaaSAI System, a comprehensive digital system to automate and facilitate interactions between suppliers of manufacturing systems (Providers) and manufacturing companies (Consumers) in a Manufacturing-as-a-Service (MaaS) ecosystem, in an agile, efficient, and transparent manner. The MaaSAI System aims to revolutionise manufacturing and remanufacturing processes by facilitating access to flexible and decentralised capacities, through the MaaS business model, which extends the principles of the service-oriented economy to the manufacturing industry. The MaaSAI System aims to contribute to the reduction of the heavy investments that manufacturers have traditionally had to make to set up and maintain their operations. With an emphasis on production flexibility, agility, and responsiveness, the MaaSAI System enables…

HYPER-AI

HYPER-AI Hyper-Distributed Artificial Intelligence Platform for Network Resources Automation and Management Towards More Efficient Data Processing Applications HYPER-AI overarching objective is the development of the required mid-tier and the necessary cloud-edge connectors that will enable the seamless integration of heterogeneous computing environments and the establishment of new-generation interoperable and adaptive hybrid computing ecosystems exploiting cognitive clouds and edge intelligence beyond today’s limitations. HYPER-AI objectives are listed as follows: Design and implement the HYPER-AI open architecture that will empower swarms of nodes to develop collaboratively collective intelligence, bringing the computation closer to the edge, utilizing decentralized AI/ML-based intelligence. Ensure dynamic cognitive and informative optimized decision-making across all phases of the application lifecycle (design, execution, maintenance) through continuous inference resources. Develop autonomic system entities ensuring autonomous Smart-Nodes and rapid coordination of Smart-Nodes…

CYCLOPS

CYCLOPS Automated end-to-end data life cycle management for FAIR data integration, processing and re-use The CYCLOPS project is dedicated to advancing data integration and management across diverse and evolving data sources. It directly aligns with the European Strategy for Data, aiming to cultivate a cohesive data market. CYCLOPS sets its sights on pivotal future EU data spaces: tourism and mobility, the green deal, public procurement, and manufacturing. These four (4) thematic areas form the core of CYCLOPS's mission to establish a groundbreaking framework for the comprehensive governance of the data lifecycle. Through the application of Artificial Intelligence (AI) in Artificial Intelligence Operations (AIOps) and Data Operations (DataOps), augmented by Knowledge Graphs (KGs) and a human-in-the-loop approach, CYCLOPS strives to automate data processing pipelines. This approach is designed to eliminate data…

NANCY

NANCY An Artificial Intelligent Aided Unified Network for Secure Beyond 5G Long Term Evolution The overall aim of NANCY is to introduce a secure and intelligent architecture for the beyond the fifth generation (B5G) wireless network. Leveraging AI and blockchain, NANCY enables secure and intelligent resource management, flexible networking, and orchestration. In this direction, novel architectures, namely point-to-point (P2P) connectivity for device-to-device connectivity, mesh networking, and relay-based communications, as well as protocols for medium access, mobility management, and resource allocation will be designed. These architectures and protocols will make the most by jointly optimizing the midhaul, and fronthaul. This is expected to enable truly distributed intelligence and transform the network to a low-power computer. Likewise, by following a holistic optimization approach and leveraging the developments in blockchain, NANCY aims at…

ONCOSCREEN

ONCOSCREEN A European “shield” against colorectal cancer based on novel, more precise and affordable risk-based screening methods and viable policy pathways ONCOSCREEN: A EUROPEAN “SHIELD” AGAINST COLORECTAL CANCER Modern healthcare systems need to offer new non-invasive methods for colorectal cancer screening and to improve its early detection. Such methods need to be affordable, accessible, and applicable to large parts of the population in order to effectively prevent the development of colorectal cancer. ONCOSCREEN project responds to this challenge and plans to develop a ground-breaking set of technologies and methods for colorectal cancer screening. In close cooperation with other Mission Cancer projects, ONCOSCREEN will provide solutions for risk-stratified cancer screening programmes for citizens, an integrated diagnostic decision support tool for clinicians as well as intelligent monitoring tools for policy makers. The…

XRECO

XRECO XR mEdia eCOsystem While media organisations increasingly support non-linear experiences for the consumer, those are still limited to single channels and media domains. Although several media organisations have recently succeeded in breaking data silos, data sharing is mostly limited to the organisation. Thus, there are challenges for producing content feeding multiple channels with different granularities and structures, mainly related to data discovery, management and (re-)use. XRECO will create a new data-driven ecosystem for the media industry, focusing on facilitating data sharing, search and discovery and supporting creation of news and entertainment content, in particular, the creation and (re-)use of location-related 2D and 3D assets and the creation of XR experiences. The ecosystem core, represented by a Neural Media Repository (NMR), will foster inter-organisation content sharing and provide increased access…

LEAGUE

LEAGUE Limiting online sexual Exploitation and Abuse Gender based on Underaged boys by Educating experts The Limiting online sexual Exploitation and Abuse Gender based on Underaged boys by Educating experts (LEAGUE) project addresses the further need of prevention and increased reporting of online child sexual abuse among boys aged 10–18. The actions proposed for this project will help to the development of the competencies of the organizations and authorities responsible for assisting victims of such crimes. LEAGUE aims to prevent and report online child sexual abuse of boys aged 10-18, to facilitate early detection, protection and support to underaged boys and young people who are victims or potential victims of violence, with particular emphasis to situations emerging from the COVID-19 pandemic and to enhance multidisciplinary cooperation and coordination among relevant…