Exascale volumes of diverse data from distributed sources are continuously produced. Healthcare data stand out in the size produced (production 2020 >2000 exabytes), heterogeneity (many media, acquisition methods), included knowledge (e.g. diagnostic reports) and commercial value. The supervised nature of deep learning models requires large labeled, annotated data, which precludes models to extract knowledge and value. EXA MODE solves this by allowing easy & fast, weakly supervised knowledge discovery of exascale heterogeneous data provided by the partners, limiting human interaction. Its objectives include the development and release of extreme analytic methods and tools, that are adopted in decision making by industry and hospitals. Deep learning naturally allows to build semantic representations of entities and relations in multimodal data. Knowledge discovery is performed via document-level semantic networks in text and the extraction of homogeneous features in heterogeneous images. The results are fused, aligned to medical ontologies, visualized and refined. Knowledge is then applied using a semantic middleware to compress, segment and classify images and it is exploited in decision support and semantic knowledge management prototypes. EXA MODE is relevant to ICT12 in several aspects: 1) Challenge: it extracts knowledge and value from heterogeneous quickly increasing data volumes. 2) Scope: the consortium develops and releases new methods and concepts for extreme scale analytics to accelerate deep analysis also via data compression, for precise predictions, support decision making and visualize multi-modal knowledge. 3) Impact: the multi-modal/media semantic middleware makes heterogeneous data management & analysis easier & faster, it improves architectures for complex distributed systems with better tools increasing speed of data throughput and access, as resulting from tests in extreme analysis by industry and in hospitals.

Reactive process design has largely been based on trial-and-error experimentation and similarly, reactor design has utilised empirical kinetics (data-based models). On the other hand, physics-based modelling approaches are emerging as highly promising in the development of new catalytic materials and reactive processes, and it would be desirable to be able to use high-fidelity, first-principles-based reactor scale simulations for process design. Multi-equation models are steadily gaining ground in the chemical reaction engineering community, combining mature tools at each scale, from the molecular up to the reactor. However, such efforts are currently restricted to academia; a commercial modelling suite and software platform, accessible to the generalist user, is lacking. To address this challenge, ReaxPro has identified a set of academic software tools (EON, Zacros, CatalyticFOAM) which will be upscaled into easy-to-learn, user friendly, interoperable software that is supported and well documented. These tools will be further integrated with commercial software (ADF Modeling Suite) into an industry-ready solution for catalytic material and process design. The ReaxPro Software platform and associated services will be made available via the European Materials Modelling Marketplace through the consortium's partnership with ongoing EU projects MARKETPLACE and VIMMP. To fully reach the target technology readiness level of 7, ReaxPro has partnered with translators and industry for validation and demonstration in pilot- and industrial-scale user cases. As a result of the proposed activities, academia and industry will have at their disposal an integrated, interoperable, customisable and modular modelling platform, enabling users to gain unique fundamental insight on reactive processes, but also a ready-to-use tool for the design of cost-efficient, environmentally friendly and sustainable processes, delivering measurable impact on the entire EU economy.

The amount of data gathered, shared and processed in frontier research is set to increase steeply in the coming decade, leading to unprecedented data processing, simulation and analysis needs. In particular, the research communities in High Energy Physics and Radio Astronomy are preparing to launch new instruments that require data and compute infrastructures several orders of magnitude larger than what is currently available and entering in the Exascale era. To meet these requirements, new data-intensive architectures, heterogeneous resource federation models, and IT frameworks will be needed, including large-scale compute and storage capacity to be procured and made accessible at the pan-European level. Additionally, the emergence of high-end Exascale HPC and Quantum computing systems provides new opportunities for accelerating discoveries and complementing the capabilities of existing research HTC and Cloud facilities. Addressing key questions around scalability, performance, energy efficiency, portability, interoperability and cybersecurity is crucial to ensuring the successful integration of these heterogeneous systems. In this context, the SPECTRUM project aims to deliver a Strategic Research, Innovation and Deployment Agenda (SRIDA) and a Technical Blueprint for a European compute and data continuum. With a consortium composed of leading European science organisations in High Energy Physics and Radio Astronomy, and leading e-Infrastructure providers covering HTC, HPC, Cloud and Quantum technologies, the project will work with a Community of Practice composed of external experts. The ultimate goal is to pave the way towards data-intensive scientific collaborations with access to a federated European Exabyte-scale research data federation and compute continuum.

HPC-Europa3 aims at maintaining the persistency of a high quality service of transnational access to the most advanced HPC infrastructures available in Europe for the European research science community. European researchers could rely on the existence of such transnational access activity for almost two decades, and the main aim of this new innovative 3rd edition of HPC-Europa series is to fill the gap left in the four years since the end of the last initiative has ended. HPC-E3 also represents a powerful vector to enlarge the HPC PRACE users base by supporting the researchers in their early-career in HPC and numerical simulation, and by covering, with a specific and dedicated attention, two regions that still present potential of improvement: the Baltic and the Western Balkans regions. Objectives of HPCE3 will be: · Provide access to 8 European HPC centres (with a target of 1.220 visits), via a single application and an international peer-review process, free of charge and with minimal administrative overhead; · Mentor in the usage of the most advanced HPC facilities; · Facilitate new scientific collaboration to be formed within an extremely wide network of scientific host labs in all the computational sciences domains; · Increase awareness of the benefits in the use of HPC towards SMEs; · Increase synergy and collaboration with other HPC initiatives; · Identify a long-term sustainability roadmap to facilitate future access to HPC resources. The project is based on a program of visit, in the form of traditional transnational access, with researchers visiting HPC centres and/or scientific hosts who will mentor them scientifically and technically for the best exploitation of the HPC resources in their research. The visitors will be funded for travel, accommodation and subsistence, and provided with an amount of computing time suitable for the approved project. Two NAs and one JRA will maximize the effectiveness of the access service.

Under the new 72-month GN5 Framework Partnership Agreement in Horizon Europe (GN5-FPA), this proposal responds to Horizon Europe Call HORIZON-INFRA-2021-NET-01-SGA-2 (Work Programme 21-22 Other Actions: 2. SGA for investments on International connectivity and collaboration), received 1 February 2022. GN5-IC1 sets out a new plan and implementation for the first phase of a new intercontinental connectivity investment programme, meeting the huge growth in network capacity demands and leading the network through a paradigm shift in the digital science and computational infrastructures in the next 10 to 15 years. It builds on the successful and relevant experience in planning and procuring and introducing into operation direct intercontinental links, such as BELLA S1, as well as a number of other existing bilateral and reciprocal arrangements for operational links negotiated with other intercontinental partners. This project will help ensure sufficient capacity is put in place through procurements and implementations of links during the project term or through setting a roadmap for future investments beyond this timeframe. The GANT Consortium has a long established and successful track record in securing long-term intercontinental network connectivity, interconnecting with an increasing number of gateways in the network, in co-ordination with global peers. Applying proven skills and expertise, GANT is well placed to maximise the value of the links to be procured, with innovative contracts and to secure reciprocal global peering contributions to increase the impact of the resources available in GN5-IC1.