The overarching goal of BEYOND5 is to build a completely European supply chain for Radio-Frequency Electronics enabling new RF domains for sensing, communication, 5G radio infrastructure and beyond. BEYOND5 is first and foremost a technology project gathering most significant European actors covering the entire value chain from materials, semiconductor technologies, designs and components up to the systems. BEYOND5 will drive industrial roadmaps in More than Moore (MtM) in adding connectivity features on existing CMOS Technology. The ambition is to accomplish sustainable Radio Frequency SOI platforms to cover the frequency range from 0.7GHz to more than 100GHz, and to demonstrate the technical advantage of SOI, which allows combining large scale integration, low power consumption, cost competitiveness and higher reliability; thus, resulting in high volume production of trusted components with low environmental impact in Europe. This objective will be achieved in a “Time to Market” approach using the 3 major work streams: 1. Technology enhancement in three European industrial pilot lines: • 300mm RF SOI substrates pilot line in Soitec, supported by the “Substrate Innovation Center” in CEA LETI to prepare future generations. • RF-SOI 65nm pilot line for 5G FEM in ST addressing both sub-6GHz and 28GHz domains. • 22FDX pilot line addressing Digital Signal Processing of radio module and RF reliability, in GF 2. European RF design ecosystem strengthening, based on a large fabless community using FD-SOI and RF-SOI platforms 3. Six Leading edge systems aggregating the value chain to demonstrate added-value of the technology at the user level: • NB IoT for Smart Asset Tracking, • Contactless USB for high-data rate communication, • V2X for autonomous connected trucks, • 5G Low Power Digital Beamforming Base Station for Indoor dense spaces, • Automotive MIMO Radar with embedded AI, • Car Interior Radar for passenger monitoring.

The main objective of the storAIge project is the development and industrialization of FDSOI 28nm and next generation embedded Phase Change Memory (ePCM) world-class semiconductor technologies, allowing the prototyping of high performance, Ultra low power and secured & safety System on Chip (SoC) solutions enabling competitive Artificial Intelligence (AI) for Edge applications. The main challenge addressed by the project is on one hand to handle the complexity of sub-28nm ‘more than moore’ technologies and to bring them up at a high maturity level and on the other hand to handle the design of complex SoCs for more intelligent, secure, flexible, low power consumption and cost effective. The project is targeting chipset and solutions with very efficient memories and high computing power targeting 10 Tops per Watt. The development of the most advanced automotive microcontrollers in FDSOI 28nm ePCM will be the support technology to demonstrate the high performances path as well as the robustness of the ePCM solution. The next generation of FDSOI ePCM will be main path for general purpose advanced microcontrollers usable for large volume Edge AI application in industrial and consumer markets with the best compromise on three requirements: performances, low power and adequate security. On top of the development and industrialization of silicon process lines and SoC design, storAIge will also address new design methodologies and tools to facilitate the exploitation of these advanced technology nodes, particularly for high performance microcontrollers having AI capabilities. Activities will be performed to setup robust and adequate Security and Safety level in the final applications, defining and implementing the good ‘mixture’ and tradeoff between HW and SW solutions to speed up adoption for large volume applications.

EdgeAI-trust aims to develop a domain-independent architecture for decentralized edge AI along with HW/SW edge AI solutions and tools, which enable fully collaborative AI and learning at the edge. The edge AI technologies address key challenges faced by Europe's industrial and societal sectors such energy efficiency, system complexity and sustainability. EdgeAI-trust will enable large-scale edge AI solutions that enable interoperability, upgradeability, reliability, safety, security and societal acceptance with a focus on explainability and robustness. Toolchains will provide standardized interfaces for developing, optimizing and validating edge AI solutions in heterogeneous systems. The generic results will be instantiated for automated vehicles, production and agriculture, thus offering innovation potential not only in the generic HW/SW technologies and tools, but also in the three target domains. These technological innovations are complemented with business strategies and community building, ensuring the widespread uptake of the innovations in Europe. EdgeAI-trust will establish sustainable impact by building open edge AI platforms and ecosystems, with a focus on standardization, supply chain integrity, environmental impact, benchmarking frameworks, and support for open-source solutions. The consortium consists of major suppliers and OEMs encompassing a broad range of application domains, supported by leading research and academic organizations. By embracing the opportunity to specialize in Edge AI, Europe can maintain its position in the global context, especially as it aligns with decentralized and privacy-driven European policy. Furthermore, as AI is closely connected with the Green Deal, this project can provide proper solutions for environmental issues. Ultimately, the project will enable AI to be connected with other strong sectors and industries, improving the innovation process and decision-making in Europe.

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.