CORE Innovation Centre (CORE) is a private non-profit research organisation, based in Greece and founded in 2021 as a full subsidiary of CORE Innovation Technology OE, focusing on Industry4.0 technologies, like machine learning, IoT, edge and cloud computing, Innovation Management and Communication. The vision of CORE is to become the biggest R&I centre in Southeastern Europe in the fields of Industry4.0. CORE aims to create an industrial ecosystem, composed of manufacturing companies and knowledge/research institutions, around the core principles of Industry 4.0 such as automation, zero-defect manufacturing, and flexible production based on a number of core technologies such as Machine Learning, Robotics, Big-Data and Digital Twins. This vision will be materialised through the development of Industry 4.0 Test Labs, which are practical environments where companies and research institutions develop, test and implement Industry 4.0 solutions under realistic conditions, as well as co-design the associated digital processes and new business models. The overall Twin4Twin goal is to raise the research profile of CORE as well as the research profile of its staff in the field of digital twin technologies. In parallel with the objectives, Twin4Twin’s concept approach is divided into four clusters: a. digital twins – scientific excellence b. research and innovation management upskilling, c. business development, and d. exploratory research project. To do that, CORE will run the twinning exercise with leading EU organisations, namely ITA from Spain (Reduced Order Models research in Digital Twins), SCCH from Austria (Big Data real time streaming technologies) and SSF from Switzerland (test and demo platform to be used as use case and provide the replication potential towards the Greek Smart Factory).Twin4Twin aims to reduce the disparity in production between Greece and top-class leading countries through knowledge transfer in smart manufacturing technologies.

In the 1970s, researchers started to utilize quantum mechanics to address questions in computer science and information theory— establishing new research directions such as quantum computing. Now, more than four decades later, we are at the dawn of a new "computing age" in which quantum computers indeed will find its way into practical application. However, while impressive accomplishments can be observed in the physical realization of quantum computers, the development of automated tools and methods that provide assistance in the design and realization of applications for those devices is at risk of not being able to keep up with this development anymore—leaving a situation where we might have powerful quantum computers but hardly any proper means to actually use them. This project aims to provide a solution for this upcoming design gap by developing efficient and practical relevant methods for corresponding simulation, synthesis, and verification tasks. While the current state of the art severely suffers from the interdisciplinarity of quantum computing (leading to the consideration of inappropriate models, inconsistent interpretations, or "wrong" problem formulations), this project will build a bridge between the design automation community and the quantum computing community. This will allow to fully exploit the potential of design automation which is hardly utilized in quantum computing yet. Since quantum computers are reaching feasibility, the methods developed within this project will be highly demanded. Preliminary investigations conducted in preparation of this proposal already showed the potential of such an endeavor and raised significant attention in the quantum computing community and its "big players". The project plans to continue these developments on a larger scale—eventually providing the foundation for design automation methods that accomplish for quantum computing what the design automation community realized for classical electronic circuits.

The RePhrase project directly meets the challenge of ICT-09-2014, by studying the critically important issue of improving software development practice for parallel data-intensive applications. Data-intensive applications are among the most important and commonly encountered kinds of industrial application, and are increasingly important with the emergence of "big data" problems. Emerging heterogeneous parallel architectures form ideal platforms to exploit the massive-scale inherent parallelism that is usually implicit in such applications, but which is often difficult to extract in practice. Solving this problem will bring major economic benefits to the software industry. To address this challenge, RePhrase brings together a team of leading industrial and academic researchers, software engineers, systems developers, parallelism experts and domain experts from large companies, SMEs and leading universities. It aims to develop a novel software engineering methodology for developing complex, large-scale parallel data-intensive applications, supported by a very high-level programming model. We will exploit advanced pattern-based programming, refactoring, testing, debugging, verification and adaptive-scheduling technologies to build an interoperable tool-chain supporting our methodology, based on but significantly extending existing industrial and research tools. These tools will significantly ease, and even automate, all phases of typical software development, from design and implementation to long-term maintenance and software evolution. The generality of our approach will be ensured by targeting C++ and the most popular low-level parallel programming models, such as the C++11/14/17 standards, pthreads, OpenMP, Intel TBB, OpenCL and CUDA. We will demonstrate our approach on a range of large-scale data-intensive applications, taken from different domains, including bio-medical image processing, data analysis, machine learning, computer vision and railway diagnosis.