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Our Role: We will contribute in the collation of the user-requirements as well as the consolidation of the technical requirements based on SoA. We will collaborate with our partners during the inspection and metrology R&D to implement the data analytics to identify the deterioration trends, based on the received signals and their analysis. In addition, we will support the machine learning in techniques contributing also to the decision making process. Apart from the technical parts, CORE will lead the Innovation Management task and the business modelling by applying their Profit Simulation Tool and their experience in business development.

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Our Role: We will be leading the dissemination and communication efforts of the project. Our experience in defining the audiences' profiles will determine the right message for each segment. The different customer and final users characteristics will be approached differently in order to increase the awareness levels of the BBI technologies.

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Our Role: We will be leading the exploitation activities for the project results. Moreover, we will be participating in the business model creation, applying our business model engineering approach. To accomplish that, we will use our extensive expertise in innovation management to fully maximise the potentials of both scientific and technological research project results.

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Our Role: Core is the Dissemination, Communication, and Exploitation Manager of the project. We will lead all efforts on how the project results will be communicated to the public, how others can use our data and technologies, and finally how the stakeholders can uptake the project results and use them.

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Our Role: We will develop machine learning algorithms to predict possible failures of machines based on their performance and integrity. We will also serve as Innovation, Exploitation and Communication Manager in order to effectively and efficiently communicate the project results to the market in order to be launched on time and in the right fashion.

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Our Role: We will be leading the task and the efforts on the deep learning algorithms to ensure strong prediction and detection skills and respective reactions to achieve zero defects. CORE will provide input on specifications and requirements for the early detection and prediction algorithms as well as support the metrology and inspection set-up with the parameters of importance for training. We are also leading all efforts on how to commercialise and exploit IQONIC results, having the role of Dissemination, Communication and Exploitation Manager of the Project.

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Our Role: We will be leading the dissemination and communication efforts of the project. Our technical background will be combined with our experience in defining the audiences' profiles in order determine the right message for each segment. The different customer and final users characteristics will be approached differently in order to increase the awareness levels of the Robotics technologies, especially in the ones used in manufacturing.

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Our Role: We will contribute to the BIPV system integration from the architectural perspective. We are leading two tasks and the efforts on the deep learning algorithms to ensure strong prediction skills and respective scheduling actions, regarding the energy management based on users’ habits and preferences. To this end, CORE will provide a seamless integration of the software components of the smart scheduling engine to maximise the energy efficiency in buildings.

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Core Innovation develops proprietary deep neural networks fit for predictive maintenance applications in the manufacturing industry. Our technology addresses the pressing problem of unplanned machine downtime, which costs industrial manufacturers >€40 billion per year across the world. In the ENCORE project, we validate the commercial feasibility of our product, tune our product development plan to advance to TRL-9, and optimize our roadmap to accelerate our market entry by 2023.

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EnCORE has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 889058.

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Our Role: We will be leading the task and the efforts on the deep learning algorithms to diagnose and predict the machines’ states to ensure accurate RUL estimations and respective remanufacturing and refurbishment actions. We will also support the data validation with virtual twins supporting a smooth integration. Apart from the technical roles, CORE has the role of Communication, Dissemination, and Exploitation Manager, leading all efforts on how to commercialise LEVEL-UP results reaching the right audiences on time. CORE will be also managing the Innovations of the project, acting as Innovation Manager, ensuring that LEVEL-UP results will meet the market needs alleviating the customers’ pains.

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Our Role: CORE IC will be responsible for the tasks related the Exploitation and Innovation Management of the project. CORE IC will be responsible for the market analysis and customer segmentation for the project results, as well as to coordinate the exploitation plan development. Moreover, Innovation Management will be a constant process throughout the project duration. CORE IC will lead the activities to develop the business model of the project.

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Our Role: CORE is the Dissemination and Communication Manager of the project. We will lead all communication efforts to raise awareness and interest in CAPRI, delivering an effective message to different stakeholders. We will also work on how the process industry can uptake the project results and use them. CORE also supports CAPRI cognitive approaches by developing machine learning algorithms to predict the machine’s stage; an effort to improve quality in SPIRE sector and have an impact on industry costs, operations, control, energy consumption etc.

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Our Role: CORE will use their expertise in deep learning algorithms to design and develop an Environmental Impact Assessment Tool. The system will be proposed to identify and quantify the levels of some of the monitored parameters and to extract tangible environmental impact KPIs on a regional level. This tool will act complementarily with a Beneficiaries Compliance tool in an overall Green Accountability toolbox within DIONE system: DIONE aims to develop an Artificial Intelligence (AI) enabled tool that will be able to correlate data from various sources in order to provide feedback to professionals from the green paying agencies about land condition and land use.

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Our Role: CORE’s main role in the project will be to lead the work concerning the swarm intelligence of the autonomous tugboats. The main tasks include the design and development of a virtual environment for the simulation of the tugboat movement and control, as well as the development of the ML-based algorithms for the intelligence of the swarm of tugs. Moreover, the interface with existing port control systems will be explored. CORE will also participate actively in the integration and demonstration activities of the project. In addition, CORE will lead the Innovation Management activities of the project, aligning the end user commercial needs with the technological benefits that MOSES is bringing to the market.

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Our Role: We will be leading the exploitation, dissemination and communication efforts of the project. Our technical background will be combined with our experience in defining the audiences' profiles in order to determine the right message for each segment as well as the best way to commercialise InComEss results. Core is also responsible for developing the appropriate strategies for IP management and ensuring the knowledge transfer within and beyond InComEss project.

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Our Role: We develop a predictive operation system and predictive maintenance agents for mining assets. We also support the machine learning applications development of an Intelligent toolbox for Occupational Safety, Health, and Environment (OSHE) for Biosignal analytics & anomaly detection; and Air-quality smart monitoring and forecasting. We support the definition of project specifications according to industry needs and the developments of the assets digital twins. CORE also leads the innovation management activities facilitating the Dissemination and Exploitation strategies of the whole project.

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Our Role: CORE will develop and test machine learning algorithms to detect power theft and monitor transformer health. The last feature can lead to predictive maintenance with additional benefits of economic and consumer service aspects.

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Our Role: CORE will try to achieve extended prediction capabilities including a state-of-the-art weather forecast model and energy consumption prognosis of the buildings. Our main goal is to contribute in maximizing the DEPC precision through increased model accuracy. Moreover, we will be responsible for designing and validating the innovation readiness of the project. Taking into consideration all technological advancements, market insights, customer segments, legal framework and available funding, CORE will deliver a strong roadmap for project's commercialization.

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Our Role: We are leading the work on the extension and validation of Business case, Business model and financing for SATO platform and services, defining the barriers and risks, the revenue and financial model of SATO platform and services.

Apart from the business development, we have the technical role of the development of equipment/appliances energy performance assessments.

We are also carrying the efforts on market actors’ engagement through Communication and Dissemination. More specific, CORE is responsible for setting up and implementing the Communication and Dissemination strategy, reaching the targeted audiences and stakeholders.

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Our Role: CORE leads the efforts to disseminate the project results and communicate the project to all relevant stakeholders, maximising the expected impacts of TEAMING.AI. Also, CORE will be responsible for the strategic management and replicability of the project, while liaising with other AI in manufacturing projects.

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Our Role: CORE will develop an innovative quality forecasting system for minimizing errors and defective products that will be applied to Hellenic Dairies SA and Koukaki Farm SA. in real operating conditions. It is a complete solution from acquiring data in the field, processing and analyzing them in the edge and cloud to complete interconnection with existing systems. Through FLAWLESS, CORE aspires to establish itself as one of the leading innovative Greek companies in the field of forecasting and error detection in the dairy production industry. Core designed the logo of the project and is also responsible for …performing a Cost-Benefit Analysis to calculate the Return on Investment that the End-Users will enjoy by adopting FLAWLESS technology. Also, Core will develop white-papers that will describe the benefits for the industrial producers using FLAWLESS; these white papers will be used for dissemination and communication purposes. Finally, Core will lead the innovation management activities setting the basis for FLAWLESS exploitation phase.

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Our Role: CΟRE is actively engaged in 4 work packages. In Simulation and Optimization Enablers we are tasked to deliver high level prediction capabilities with advanced short-term weather forecasting. We are developing a temperature and insolation prediction module with option for adding more weather physical properties. In Extended functionalities and DEPC Validation we are contributing with dynamic energy balancing forecasting taking into account both demand-side and production-side assets and also with the addition of an Optimal RES Selector. The RES selector will devise/suggest an optimal portfolio of RES solutions to the user. This module will be useful for sizing energy storage technologies and supporting in the selection of the most appropriate solution for each case. Hence, the outputs will suggest optimal RES type and coverage, as well as the payback period and other techno-economic parameters.

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Our Role: CORE Innovation Centre leads the efforts for the implementation of an efficient framework for gathering, correlating, synchronising, and processing data, which will be used by both the data-driven and physics-based models. Additionally, we will develop an advanced Decision Support System (DSS), aiming to optimise the machines’ operating parameters, as well as identify possible strong relationships among them.

We will also co-lead the development of accurate hybrid Digital Twins, composed by physics-based and data-driven models, to further optimise the manufacturing parameters.

Finally, CORE IC will be the one leading the Communication activities for AMBIANCE, ensuring the maximisation of the project’s awareness, as well as its expected impact.

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Our Role: CORE Innovation Centre will contribute to the design of the reference architecture and the distributed intelligence system, along with additional contributions to the data spaces design principles and digital twins. We will develop appropriate data spaces for communication exchange and provide AI enabled digital twins based on deep neural networks.

Furthermore, CORE IC will lead the effort to develop an exploitation strategy plan aiming to maximise the impact of Circular Twain novel AI-platform towards a more sustainable manufacturing value chain. We will be responsible for ensuring the replicability of the project, while liaising with other AI in manufacturing projects, clusters, and initiatives. Last, we will be the ones leading the Dissemination and Communication activities for Circular TwAIn, expanding the project’s awareness, and boosting its expected impact.

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Our Role: Our main role will be energy performance monitoring and optimization of wind propelled ships towards decreased emissions and higher energy efficiency. The main tasks include the development of an energy management system (EMS) that will make decisions on the hybrid use of conventional/wind propulsion aiming at increased energy savings. The EMS will be adjusted for the needs of two demo cases of the project. Additionally, CORE IC will lead the Communication, Dissemination and Exploitation activities aiming to maximize the project’s impact.

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Our Role: CORE Innovation Centre will have an active role in the technical design of the digital 4.0 continuum framework architecture, which relates to the cognitive digital twin, as well as the self-service analytics and manufacturing data spaces. CORE IC will also participate in the development of the AI platform and more specifically, in tailoring enriched Machine Learning models via federated learning, and delivering model deployment and integration as part of the digital 4.0 continuum open toolkit. Regarding the use cases, CORE IC will contribute to setting up the pilot use cases and carrying out large scale on-site trials, in order to validate the factory 4.0 operations and produce insightful benchmarking data. In the exploitation phase, CORE IC will lead the development of the RE4DY exploitation plan, which will outline the roadmap for launching the RE4DY technologies and their market uptake.

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Our Role: Autonomous AI for Process Industries Horizon Project s-X-AIPI will utilise CORE’s leading expertise in the development of quality prediction algorithms based on sensorial data and recipe optimisation. Other tools to be developed include algorithms that will automate the deployed model’s optimisation and re-parametrization processes, including the human operators in-the-loop.

In the exploitation phase, our role will focus on the exploration of the profitability of the s-X-AIPI toolset. We will use our own Profit Simulation Tool, developed in house, to simulate and identify the most profitable business model.

Finally, our Communications department will be leading the consortium’s effort in the Communication & Dissemination activities to maximise the impact of this industrial transformation project.

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Our Role: CORE Innovation Center’s involvement in the project will be quite extentensive, including technical, innovation and communication activities. Our team will lead the development of a Multi-Stage Energy Consulting System (MuSECS), which will be achieved through the use of Artificial Intelligence and Machine Learning tools combined with energy data from heterogeneous sources as well as information from the energy grid provider and external services. CORE IC will also contribute to the Asset Health Monitoring module which includes condition and anomaly detection. The team will bring its extensive expertise in the innovation work package where we will apply standardization and certification, ecosystem empowerment efforts, project development cycle and sustainable innovation management. Finally, CORE IC’s communication department will be responsible for crafting a unique digital identity, including the visual identity, document templates and website as well as other setting up other communication channels.

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Our Role: CORE’s role in ELEXIA will focus on critical-asset health monitoring solutions, as part of the integrated Energy Management System (EMS). This system will be built and deployed for flexible, cost-optimised, and resilient operation of sector coupled local sites including forecasting, digital twins, optimization, control, monitoring, assessing operating conditions, predicting anomalous operation, and preventing occurrence of breakdowns.

We will also be the ones leading the dissemination, exploitation, and communication activities aiming to enhance the project’s impact and promote its commercialisation and market applications.

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The overall Twin4Twin goal is to raise the research profile of CORE IC in the field of digital twin technologies as well as to develop an Industry 4.0 Test Lab configured for testing new products and applications. Throughout knowledge exchange activities among partners such as co-design workshops and weekly visits to the twinning institutions, CORE IC will develop new Industry 4.0 digital processes and business models, increasing CORE IC’s and the twinning partners research excellence and innovation capacity. Under the guidance of the twinning partners, CORE IC will establish a unit for R&I management activities, including a handbook with best practices for the implementation of R&I projects, a financial PM tool and a gamified approach for proposal writing. Building on top of the twinning partners expertise, CORE IC will lead the efforts for the implementation of an exploratory research project in the field of digital twin technologies, integrating and testing the collaborative digital twins in a modular and reconfigurable setting. In the exploitation phase, CORE IC will establish strong linkages with other relevant businesses focusing on the development of a stakeholder platform and enhancing strategic networking activities. Finally, CORE IC will lead the Communication & Dissemination activities to maximise project’s awareness and interest, including the organization and establishment of a yearly Industry 4.0 international conference.

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Our Role:In e-CODOMH, we will focus on tools and techniques for predictive maintenance as part of the cluster for Sustainable Constructions, Buildings and Infrastructures. Our solutions will be customised to the needs of production units of construction materials. The outcomes of our activities will be piloted on actual production lines to provide optimised operation of assets in terms of maintenance costs leading to undisturbed production.

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Our Role:CORE IC will participate in a joint endeavor among EIT Manufacturing partners and external organisations towards the development of digital twins for the replication of business processes to support a digital and green transition for European SMEs.

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Our Role: CORE Innovation Centre will contribute to the development of ML-based predictive maintenance models monitoring the future state of critical assets in the mines and eliminating unexpected breakdowns and downtime of the production. It will also participate in the development of energy management models to forecast load demands in mining sites aiming at managing resources in an optimal way and improving energy consumption. In addition, CORE IC will lead the efforts for the coordination of the digital transformation plans for each demonstration site and be responsible for the digital transformation of the TERNAMAG demo. The implementation of a robust and secure on demand data distribution infrastructure will be among CORE IC’s responsibilities aiming to distribute on-demand historical data on well-established industry tools and frameworks. In the exploitation phase, CORE IC will be responsible for the development of the exploitation plans for project results as well as to facilitate the use of sustainable financial products based on an ESG-driven approach. Finally, our Communications team will be leading the consortium’s efforts in the Communication & Dissemination activities to maximise the outreach of project’s results.

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Our Role: The project focuses on autonomous modular factories, able to manufacture in low-volumes and rapidly respond to unexpected events. CORE Innovation Centre has an active technical role in Plug & Produce distributed control, involving a leading role in orchestration of layers from edge-fog-cloud which is achieved over mixed container environments to distribute multiprotocol data in required services and components. The activities will be carried out up to the integration of MODUL4R system at each of the 3 pilot sites. CORE IC contributes further to the project by leading Exploitation services through recognised methodologies like CANVAS, PEST etc. and development of sustainable Business Modelling for resilient and reconfigurable manufacturing. Finally, CORE IC leads Communication & Dissemination towards a broader outreach of the project’s results as well as towards increased impact of this industrial transformation project.

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Our Role: CORE IC will contribute to the development of process mining algorithms for identifying models on item and equipment behavior, as well as to the functional modules for executing and validating simulations of digital twins. Furthermore, we will lead the efforts for the development of novel process mining methods to enable the realization of a feedback loop between green gateways and digital twins in system knowledge graphs, and for the customization and deployment of the AUTO-TWIN solution. CORE IC will also be the leading partner regarding the development and implementation of the business plan and the exploitation strategy and will be responsible for utilizing sustainable business models focusing on the economic, environmental and social impact of the project. Finally, CORE IC will lead the communication and dissemination activities for maximising the project’s awareness and impact.

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Our Role: CORE Innovation Center carries out the development of a data-driven and AI-based modelling tool for supporting the engineering workflows of the supply chain through improved decision making, quality and understanding. Such a tool integrates the outcome from numerical simulation campaigns alongside the data retrieved throughout the production chain and those acquired by sensors deployed in the field. CORE IC also leads the Communication & Dissemination activities to maximise project’s awareness and interest.

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Our Role: CORE IC leads the development of an AI-based decision support system that will enable the end users to operate their industrial plants utilizing their flexibility potential. More specifically, CORE IC is responsible for developing an integrated Energy Management System. The Energy Management System will use AI/Machine Learning tools combined with energy data to provide better management of energy resources and improve the energy efficiency goals of the end users, combining energy data from heterogeneous sources within the plant as well as information from the energy grid provider and external services. The Asset Health Monitoring, an agent of the Energy Management System, responsible for condition monitoring and anomaly detection using advanced data analytics and Machine Learning algorithms, will also be developed by CORE IC. Moreover, CORE IC will support the deployment of the Asset Health Monitoring and the Energy Management System in the end-user industries for demonstration purposes. Finally, CORE IC will investigate the potential for end users to participate in flexibility markets by using the TRINEFLEX platform. To this end, CORE IC will refine the value proposition of the TRINEFLEX platform and will create business models for provision of ancillary services to the grid according to current national regulations.

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Our Role: CORE will create a Circular Economy-Decision Assist System (CE-DSS) to coordinate the project's cutting-edge digital tools and support AI-driven and human-in-the-loop decision-making. The CE-DSS will manage CE- digital technologies and services as well as data retrieval from the DaCapo platform. AI models will be developed taking into account various data sources throughout the product lifecycle. CORE IC is leading the dissemination exploitation and communication activities of the project.

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Our Role: CORE IC leads the development of an AI-based decision support system that will enable the end users to operate their industrial plants utilizing their flexibility potential. More specifically, CORE IC is responsible for developing an integrated Energy Management System. The Energy Management System will use AI/Machine Learning tools combined with energy data to provide better management of energy resources and improve the energy efficiency goals of the end users, combining energy data from heterogeneous sources within the plant as well as information from the energy grid provider and external services. The Asset Health Monitoring, an agent of the Energy Management System, responsible for condition monitoring and anomaly detection using advanced data analytics and Machine Learning algorithms, will also be developed by CORE IC. Moreover, CORE IC will support the deployment of the Asset Health Monitoring and the Energy Management System in the end-user industries for demonstration purposes. Finally, CORE IC will investigate the potential for end users to participate in flexibility markets by using the TRINEFLEX platform. To this end, CORE IC will refine the value proposition of the TRINEFLEX platform and will create business models for provision of ancillary services to the grid according to current national regulations.

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