The goal of the RADIOBLOCKS project is to achieve a maximal boost for the European major world-leading research infrastructures in radio astronomy, which over the years have invested heavily in maintaining existing facilities as well as in substantial upgrade programmes, after identifying common challenges towards their mid- and long-term scientific visions. In this project, the institutes responsible of these facilities join forces, together with partners from industry and academia, in order to develop “common building blocks” for technological solutions beyond state-of-the-art, that will enable a broad range of new science and enhance European scientific competitiveness. They share the need to continuously improve their capabilities in order to enable new science: sensitivity, field of view, bandwidth, angular, time and frequency resolution, commensality and on-sky time, reaction time and RFI mitigation. Engagement with industry to co-develop advanced technologies will increase the partners’ technological levels and strengthen their market positions, creating a true European innovation system. This project carries out carefully targeted development work and addresses common aspects in the complete data chain, categorizing this in four phases: Novel detectors and components, digital receivers, transport and correlator, and data (post)processing. We will design and demonstrate common building blocks based on cutting-edge technologies, that will be enablers and extenders in the areas most critical to the RIs, and can and will be used for upgrades of several RIs. The building blocks will be new instrument components and advanced digital solutions based on newly available (HPC/AI optimized) hardware. This approach will enable a tremendous increase of the science delivery potential of Europe’s major radio astronomical observatories, for science cases that are high on their long-term agendas, aimed at the widest possible science community in Europe and beyond.

HoloZcan brings a new tool for security actors (police, relief workers, disaster managers, crisis managers, stakeholders responsible for public safety, critical infrastructure, and service providers) notably in the fields of autonomous detection and response capabilities. The project will increase (environmental and exhaled) bio-aerosol sensing/measurement capability of CBRN practitioners by developing a high resolution, large throughput, automatic and highly portable detection system for making automatic classification of pathogens and particles. HoloZcan develops of a novel holographic microscopy and imaging technology for rapid and cost-efficient screening of potential biological threats and unknown, potentially dangerous substances, combined with methods of artificial intelligence and machine learning. It establishes a framework of a dynamic feature selection and validation algorithm to support the continuous innovation capability of the system in the field of adaptive learning and database optimization for specific bioinformatic applications. The project also develops comprehensive and innovative means of respiratory, ventilation and environmental biological data sampling that can be used in real-time, standoff or in mobile bio-detection context. The project indicates the HoloZcan technique versatility for a wide range of applications and demonstrates its technical feasibility. The project responses to the actual needs of European practitioners and technological gaps identified by the ENCIRCLE project as indicated in the ENCIRCLE Catalogue of Technologies and addresses several shortcomings of the current approaches to bio-threat agent detection. The HoloZcan project applies a flexible adaptive approach to design and CBRN practitioners are engaged as project partners or as external stakeholders in the process.

The objective of the ACT10 project is to develop and demonstrate the required technology options, including their integration, for the 10Ångstrom node. The 32 participating partners cover a wide range of activities along the entire value chain for the manufacturing of CMOS chips. Activities include equipment development, computer aided design tooling and process technology development. Essential parts of hardware, software and processing technology are developed pushing the boundaries of semiconductor design and manufacture to enable the new node and keep Moore’s law alive. The project aims to enhance the attractiveness of the EU as a location for new cutting-edge high volume and legacy node fabs. The ACT10 project is built based on the following four pillars. 1. Lithography Equipment and Mask Technology: Increase key-performance indicators in the optical system of High-NA Lithography machines, along with developing advanced mask processes and equipment to reach optical imaging requirements, and nonlinear optics material lifetime effects. 2. Chip design and Block Level validation; Assessment of different CFET devices and evaluate building blocks for digital and analog IPs. 3. Process Technology: development of innovative solutions for routing of the stacked n- and p-devices of the CFET architecture, development of 0.55NA (high-NA) single patterning solutions, and the development of semi-damascene BEOL for the 10Å node. 4. Computational Metrology and Process Monitoring Equipment: develop computational metrology methods, and develop metrology and inspection modules and equipment.

IMOCO4.E targets to provide vertically distributed edge-to-cloud intelligence for machines, robots and other human-in-the-loop cyber-physical systems having actively controlled moving elements. They face ever-growing requirements on long-term energy efficiency, size, motion speed, precision, adaptability, self-diagnostic, secure connectivity or new human-cognitive features. IMOCO4.E strives to perceive and understand complex machines and robots. The two main pillars of the project are digital twins and AI principles (machine/deep learning). These pillars build on the I-MECH reference framework and methodology, by adding new tools to layer 3 that delivers an intelligible view on the system, from the initial design throughout its entire life cycle. For effective employment, completely new demands are created on the Edge layers (Layer 1) of the motion control systems (including variable speed drives and smart sensors) which cannot be routinely handled via available commercial products. Based on this, the subsequent mission is to bring adequate edge intelligence into the Instrumentation and Control Layers, to analyse and process machine data at the appropriate levels of the feedback control loops and to synchronise the digital twins with either simulated or real-time physical world. At all levels, AI techniques are employable. Summing up, IMOCO4.E strives to deliver a reference platform consisting of AI and digital twin toolchains and a set of mating building blocks for resilient manufacturing applications. The optimal energy efficient performance and easy (re)configurability, traceability and cyber-security are crucial. The IMOCO4.E reference platform benefits will be directly verified in applications for semicon, packaging, industrial robotics and healthcare. Additionally, the project demonstrates the results in other generic “motion-control-centred” domains. The project outputs will affect the entire value chain of the production automation and application markets.

BEHOLDER revolutionises urban security through an integrated and cost efficient platform for real-time detection, assessment, and response to CBRN-E threats. The project addresses the challenges posed by the lack of standards and integration capabilities in current CBRN-E detection systems. Its innovative approach combines IoT-enabled sensors, advanced AI anomaly detection, and seamless integration with smart city infrastructure. The key objectives include the detection of CBRN-E threats in public spaces through IoTisation, the improvement of vulnerability assessments for law enforcement, the enhancement of modelling capabilities for resource planning, and the fostering of market uptake through stakeholder engagement. BEHOLDER utilises cutting-edge technologies such as SmartFurniture, environmental sensor networks, and specialised detectors like IMS+FP, HoloZcan-IoT, RadNano, and BME688 sensors. The project's methodology emphasises a collaborative and capability-driven agile approach, involving stakeholders from the outset. Real-world pilots in urban environments will demonstrate the system's effectiveness, paving the way for wider adoption. By addressing the evolving threat landscape and enhancing urban security, BEHOLDER aims to create safer, more resilient, and better-prepared environments for all. This translates to substantial economic savings, potentially preventing millions of euros in losses from disruptions to critical infrastructure and public services. In a simulated chemical attack scenario in Eindhoven, BEHOLDER could save an estimated €259 million by reducing fatalities, injuries, and healthcare costs. Moreover, the project’s proactive approach fosters a sense of security among citizens, promoting greater public confidence and resilience. By enhancing preparedness and response capabilities, it contributes to safer, more resilient, and economically vibrant urban environments across Europe.