Scalable machine learning of complex models on extreme data will be an important industrial application of exascale computers. In this project, we take the example of predicting compound bioactivity for the pharmaceutical industry, an important sector for Europe for employment, income, and solving the problems of an ageing society. Small scale approaches to machine learning have already been trialed and show great promise to reduce empirical testing costs by acting as a virtual screen to filter out tests unlikely to work. However, it is not yet possible to use all available data to make the best possible models, as algorithms (and their implementations) capable of learning the best models do not scale to such sizes and heterogeneity of input data. There are also further challenges including imbalanced data, confidence estimation, data standards model quality and feature diversity. The ExCAPE project aims to solve these problems by producing state of the art scalable algorithms and implementations thereof suitable for running on future Exascale machines. These approaches will scale programs for complex pharmaceutical workloads to input data sets at industry scale. The programs will be targeted at exascale platforms by using a mix of HPC programming techniques, advanced platform simulation for tuning and and suitable accelerators.

GREEN – GreeneR EuropEan vet Network proposal aims to identify, develop, test and assess innovative policy approaches for a “Greener” education that have the potential of becoming mainstreamed among systems, countries and contexts, to improve education and training systems, as well the effectiveness of policies and practices in the field of education and training across 6 industrial sectors (Automotive, Energy, Batteries, Defence, Maritime and Additive Manufacturing).GREEN will contribute to foster Green skills in the VET sector, by setting core green skills for the labour market and support the green transition across different economic sectors, by integrating this set into VET curricula as well as into training of teachers and trainers and professional development.Through the twinning of entities working on education, training, research, policy making and industry, GREEN will be capable of gathering the needs and best practices from different perspectives to enable the recovery and just transitions to digital and green economies, thus promoting innovation, creativity and participation, as well as social entrepreneurship in different fields of education and training and across industrial sectors towards the Green Transition. Transnational cooperation and mutual learning on forward-looking issues will be established amongst key stakeholders, empowering them to develop innovative solutions and promote the transfer of those solutions in new settings. Other specific aims are: to change mind-sets and prepare the workforce from different sectors within a multidisciplinary green and digital scope; to develop a cutting-edge Green curriculum, with teaching and learning methodologies that meet the industry needs; to develop student-centred approaches and flexible educational pathways; to boost a cross-fertilization of knowledge among universities, VETs and enterprises; to boost innovation in manufacturing, especially related with Circular Economy and Sustainability.

The objective of project is establishment of a new excellent Centre for Electron Beam Precision Manufacturing (EBEAM Centre) with international research team led by an experienced researcher prof. M.H. Rümmeli - ERA chair, to help exploit the research potential of the use of electron-beams to fabricate and structure new materials at the atomistic level and to enhance performance in research, innovation and education in nanotechnology as well as energy and environmental technologies and visibility of VSB-TUO at international level. The project is also aimed on implementation of structural changes in research environment and science management at VSB-TUO initiated by ERA Chair, to develop a research environment that meets the highest international standard, and on support of young researchers who will strengthen their creative and innovative potential via their engagement in the project and make use of the international dimension of the project for gaining independence and career development. The EBEAM project will have regional and national impacts in terms of research, education, and technology according to Research and Innovation Smart Specialization strategy.

Energy-efficient heterogeneous supercomputing architectures need to be coupled with a radically new software stack capable of exploiting the benefits offered by the heterogeneity at all the different levels (supercomputer, job, node) to meet the scalability and energy efficiency required by Exascale supercomputers. ANTAREX will solve these challenging problems by proposing a disruptive holistic approach spanning all the decision layers composing the supercomputer software stack and exploiting effectively the full system capabilities (including heterogeneity and energy management). The main goal of the ANTAREX project is to provide a breakthrough approach to express application self-adaptivity at design-time and to runtime manage and autotune applications for green and heterogenous High Performance Computing (HPC) systems up to the Exascale level.

"BACKGROUNDEvery year, Europeans are surprised by some major catastrophic fires in buildings, such as the Grenfell Tower and Notre Dame fires. Lately, more common are fires caused due to modern lifestyles, e.g. on waste disposal sites, batteries for electric vehicles, etc. While the general public is focused on intervention response, Fire Experts are looking for the causes of these fires and how to prevent them from recurring. Analysis of major fires which are causing huge economic, environmental and cultural damage, indicates that response of industry and fire safety community to new fire risks is too slow. The exchange of knowledge on an impact of new products & services and research results on fire safety related issues among Fire Experts seems insufficient. Fire Experts are not just the Fire Engineers, involved in design of new buildings, but also all the other experts working on fire safety during entire life-time of buildings, such as architects, civil, mechanical, electrical and other engineers, working in design firms, people from construction and other industries, responsible jurisdictions, fire departments, etc. The access to this broad community of Fire Experts lies in the hands of Lecturers & Trainers at Universities, Fire Protection Associations and other VET providers of fire safety knowledge. They can present the meeting point of fresh incoming information, process it with their knowledge in a non-commercial way and distribute it among Fire Experts.Remark: the estimation is that there are several hundred Lecturers & Trainers in each participating country, and at least ten times more of engineers and others, working as so called fire experts. The problem is that the definition of fire expert is not the same in different countries.Since ""Two heads are better than one"", the respond of fire safety community to new fire threats should be based on data from as wide information base as possible, include all available human resources of VET providers and provide means for suitable process and flow of knowledge and solutions.OBJECTIVESIn this context, in order to respond the need of properly processed and fast flow of information on new fire safety challenges, needed for better and faster response of Fire Experts, the objective of this project is to develop a tool for Lecturers & Trainers of Fire Experts: Online Learning Platform for Fire Expert Trainers (The Platform) on designing the fire safety of buildings based on state-of-the-art knowledge. Important goal of the project is to establish ongoing connection between the online platform and VET providers which usually have at disposal to latest knowledge.ACTIVITIES, METHODOLOGY, PARTICIPANTS AND RESULTSThe Platform will be managed by logged-in Lecturers & Trainers from different countries, but accessible to all people, available in English, and, in long-term, depending on activities of users, in national languages. It will provide state-of-art knowledge about outcomes on new approaches from different fields of fire safety, i.e.: Risk Assessment / Prevention of fire spread to adjacent buildings, taking into account new products for facades / Fire resistance of structures and spread of fire inside the building including new products for linings, use of wood, etc. / Evacuation including people with disabilities / Fire detection and alarm systems / Smoke control / Automatic fire extinguishing systems / Arrangements for firefighters: water supply and access of emergency vehicles, at landfills. Training courses for each field will be prepared by carefully selected experts with relevant knowledge coming from universities, fire associations or companies from three EU countries, with a total of six partners. The Platform will include an online training course for logged-in Lecturers & Trainers of Fire Experts, and a toolkit (set of tools, procedures, and supporting materials) for effective response to new challenges.In order to assess how effective is the Platform and all it’s tools in improving of competences, it will be tested with Lecturers, Trainers and Fire Experts from three EU countries. The Lecturers & Trainers will put in practice what they have learnt by carrying out some courses with Fire Experts. Using the results from the testing, the partners will define the necessary improvements to ensure that the Platform delivers the target outcomes. LONG TERM BENEFITThe project will be implemented by a transnational and transectorial partnership involving organisations from VET providers, HE Institutions and Fire Prevention Associations from partner countries.Beyond the partners, the Platform have the potential to be exploited by a wide range of organisations and individuals because it will be published as an OER (Open Educational Resource) under the Creative Commons license “Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)"", thus allowing anyone to freely use all the content as as well as to modify it and build upon."