MOSAIC addresses a grand challenge for European competitiveness: technological independence and filled fabs in the landscape of automated systems. By fostering innovation in Electronic Components and Systems (ECS), MOSAIC aims to propel Europe to excellence and digital autonomy, directly linked to the EU Chips Act. The project achieves this through a comprehensive strategy. It will develop next-generation ECS offering superior, cognitive system intelligence, enabling energy efficiency and robustness. These results will be tailored to the demands of automated systems, enabling rapid data processing and intuitive, AI-enabled decision- making. MOSAIC tackles the challenge of integrating diverse perception hardware configurations, ensuring that automated systems can perceive their surroundings in a non-invasive manner, avoiding a single point of failure, with unparalleled accuracy and decreased complexity. Additionally, the project emphasizes standardized communication protocols and interoperability, fostering a collaborative ecosystem across several industries, namely automotive, aerospace, maritime, industrial automation and infrastructures. By spearheading such advancements, MOSAIC empowers European ECS manufacturers to gain a competitive advantage. The project's achievements will be demonstrated in 31 cutting-edge technical showcases, indicatively global perception through 360° distributed radar, AI-enabled reasoning through magnetic field signature and resilient communications by means of non-terrestrial networks. 2 accompanying impact studies, will solidify Europe's position as a global leader in automated systems. MOSAIC leverages a pan-European consortium encompassing the entire ECS value chain, ensuring a comprehensive effort towards filling the European fabs and ensuring digital sovereignty. In essence, MOSAIC is an investment in Europe's future – a secure digital future of technological leadership, economic prosperity, and strategic independence.

The RESCUE project aims to strengthen the resilience, security, and adaptability of critical infrastructure systems through advanced edge computing, AI-driven anomaly detection, and robust communication networks. In an era of increasing cyber threats, environmental challenges, and resource uncertainties, maintaining stable and secure critical infrastructure is vital for societal well-being and economic continuity. RESCUE focuses on real-time data processing at the edge, resilient communication channels, and advanced cybersecurity to enable continuous operation and rapid response to risks. The project will deliver cutting-edge solutions to enhance the reliability of power distribution, urban infrastructure, and communication networks by implementing flexible, autonomous systems that maintain functionality even in the face of unexpected disruptions. By integrating diverse sensor data, strengthening multi-channel connectivity, and employing AI for predictive insights, RESCUE ensures that infrastructure systems can detect, classify, and respond to threats autonomously. The project combines technical innovations with a strong emphasis on data privacy and security, aligning with EU regulations like the Cyber Resilience Act and the AI Act. Through rigorous testing and demonstrative use cases across Europe, RESCUE’s solutions will set new standards for critical infrastructure resilience, paving the way for safer and more dependable smart city and energy systems.

ADACORSA targets to strengthen the European drone industry and increase public and regulatory acceptance of BVLOS (beyond visual line-of-sight) drones, by demonstrating technologies for safe, reliable and secure drone operation in all situations and flight phases. The project will drive research and development of components and systems for sensing, telecommunication and data processing along the electronics value-chain. Additionally, drone lead smart industries with high visibility and place for improvement will be developed which will pave the way for a higher public / industry acceptance of the drone technologies. In particular, ADACORSA will deliver: a) On the component level, functionally redundant and fail-operational radar and LiDAR sensors as well as 3D cameras. In order to reduce risk, time and costs, the project aims to adapt technologies from the automotive sector to the drone market for these components. b) On the system level, hardware and software for reliable sensor fusion and data analytics as well as technologies for secure and reliable drone communication using multipath TCP and registration and identification by developing platforms based on eUICCs/eSIM. c) On an architecture level, fail-operational drone control and investigation a pre-operational Flight Information Management System (FIMS) the integration with CoTS components for Unmanned Air Vehicle Traffic Management System (UTM). Within the project, 35 physical as well as virtual demonstrators of BLVOS, long-range drone flight shall pave the way toward certifiable systems for future integration of drone operations. ADACORSA's innovations will leverage the expertise of a very strong consortium, comprising world renowned industrial (OEMs, Tier-1, Tier-2 and technology providers) and research partners along the complete aviation, semiconductor and also automotive value chains, providing Europe with a competitive edge in a growing drone and drone technologies market.

The use of artificial intelligence (AI) in Edge computing is entering a new era based on the use of ubiquitous small and connected devices. Until now, Europe has not been doing well, as America sets the standards and most components are produced in Asia or America. This project believes doing better is realized by (1) Putting European values of self-organization, privacy by design and low use of energy in the core of the Edge Computing components that shape this new era, and delivering the technology needed to promote these values; (2) Focusing on pan European cooperation to ramp up the capabilities needed to deliver these new components at a scale that can make a real impact. Europe does not have huge IT leaders so cooperation from a very early phase is key. All partners in the project participate in delivering key parts of these new Edge Computing components; and (3) Demonstrating the use of these components in key European industrial areas. Clear and early examples are needed to un-lock corporate and external funding to deliver on the promise of this very exciting project. The DAIS project will research and deliver distributed artificial intelligent systems. It will not research new algorithms, as such, but solves the problems of running existing algorithms on these vastly distributed edge devices that are designed based on the above three European core values. The research and innovation activities are organized around eight complementary and mutually supportive supply chains. Five of these focus on delivering the hardware and software that is needed to run industrial-grade AI on different types of networking topologies. Three of the supply chains demonstrate how known AI challenges, from different functional areas, are met by this pan European effort. The DAIS project consists of 48 parties from 11 different countries. The DAIS project fosters cooperation between large and leading industrial players from different domains.