This project brings together a diverse group of subject matter experts from industry and academia under one umbrella, with the main aim of enhancing and advancing future healthcare processes and systems using sensory and machine learning technologies to provide emotional (affective) and cognitive insights into patients well-being so as to provide them with more effective treatment across multiple medical domains. The objective is to develop technologies and methods that will lessen the enormous and growing health care costs of dementia and related cognitive impairments that burden European citizens, which is estimated to cost over €250 Billion by 2030 [1]. From a technical perspective, the primary objective is to “develop a cloud based affective computing [2] operating system capable of processing and fusing multiple sensory data streams to provide cognitive and emotional intelligence for AI connected healthcare systems”. In particular the consortium intends to: • Specify and engineer the architecture of the SenseCare platform and will release two versions of the platform cloud infrastructure during the life of the RISE project. • Create and evaluate two use case test pilots (relating to the dementia care and connected health medical domains) that integrate with, use and apply the services of the SenseCare platform. • Specify and engineer a number of medical informatics applications that will run on the SenseCare platform and that will also be tested and evaluated as part of the use case test pilot phases. The outputs of the project will lead to significant and lasting impact on the innovation potential of the individual researchers, their host organisations as well as impacting in a much wider sense at a European and global level.

SC4EU, a collaborative Innovation Action aims at strengthening European digital sovereignty by mitigation of the chip shortage through reduction of bullwhip effect in the semiconductor industry and supply chains containing semiconductors. This will be reached via a “truer”-demand signal gained from an anonymous MPC (Multi-Party Computation) survey on coarse granularity which will be broken down via AI methods to fine granularities following the semantic web based digital reference structure. The bullwhip effect has led to a range of negative outcomes, including excessive inventory, inventory write-offs, decreased revenue, workforce reduction, and ultimately, significant shortages, as observed in the last COVID years, during the financial crisis in 08/09 and during the .com crisis in the Zero Years. The ambition of SC4EU consortium is to overcome these obstacles and to obtain high-quality, reliable data for semiconductor demand forecasting. In the solution proposed by SC4EU, data should be gathered via an anonymous survey based on Multi-Party Computing technology. Anonymity and security of data flow will encourage business partners to share their true demand data. Then, the gathered data will be mapped onto ontologies (semantic representations of the semiconductor industry) and processed with AI tools for demand breakdown of fine granularity.

The aim of this project is to bring together experts from the academic and non-academic sectors and to create an easy-to-use integrated hardware and software platform. This will enable the rapid analysis of large metagenomic datasets. It will provide actionable insights into probiotic supplement usage, methane production and feed conversion efficiency in cattle. In the recent years, the number of projects or studies producing very large quantities of sequencing data – analysing microbial communities make-up and their interactions with the environment – has increased. Yet, the depth of analysis done is very superficial and represents an inefficient use of available information and financial resources. This project aims to address these deficiencies and will study the change within microbial communities, under various conditions in cattle guts and impacting probiotic supplement usage, methane production and feed conversion efficiency in cattle. To succeed, we propose to develop faster and more accurate analytic platforms in order to fully utilise the datasets generated. By focusing on better hardware and software platforms, better expertise and training, this project will pave the way for a more optimal usage of metagenomic datasets, thus reducing the number of animals necessary. This will ensure better and more economic animal welfare. The Meta-Plat project objective is a mixture of innovative research, focused application and commercial awareness. The core objectives being pursued are: • Sample gut collection, from cattle, for sequencing; • Collection of publically available databases – to create a new classification of previously unclassified sequences, using machine learning algorithms; • Development of accurate classification algorithms; • Real-time or time-efficient comparison analyses; • Production of statistical and visual representations, conveying more useful information; • Platform integration; • Provide insights into probiotic supplement usage, methan

The EU based industry for non-leisure games (applied games) is an emerging business. As such, it´s still fragmented and needs critical mass to compete globally. Nevertheless its growth potential is widely recognised and even suggested to exceed the growth potential of the leisure games market. RAGE will help to seize these opportunities by making available 1) an interoperable set of advanced technology assets tuned to applied gaming 2) proven practices of using asset-based applied games in various real-world contexts, 3) centralised access to a wide range of applied gaming software modules, services and resources, 4) an online social space (the RAGE Ecosystem) that arranges and facilitates collaboration that underlie progress and innovation, 5) workshops and online training opportunities for both developers and educators, 6) assets-based business cases that support the games industry at seizing new business opportunities, and 7) a business model and launch plan for exploiting the RAGE Ecosystem beyond the project´s duration. Intermediary organisations and education providers anticipate a wider exploitation of RAGE results among their end-users, which add up to over 1 million, and through disseminating RAGE in their partner networks. The game companies in RAGE anticipate adding RAGE-based products to their portfolio, in order to improve their competitive advantage by opening a new product line for applied games and developing new revenue streams. Actual deployment of RAGE results will generate direct impact on the competitive positioning of the few thousand of European SMEs in the Applied Games market. Impacts from RAGE will be visible in terms of fulfilling new client needs by quicker and more challenging methods of skills acquisition, enabling new business models based on the usage of the assets repository and the Ecosystem, and in the strengthening collaboration across the entire Applied Games value chain.

The STOP project will bring together an interdisciplinary and intersectoral group of subject matter experts from industry and academia under one umbrella, to address the health societal challenge of obesity with the specific objectives of mitigating the enormous and growing Health Care costs of obesity and related health issues (like heart disease, diabetes, arthritis, liver disease, gallstones, cancer, dementia) that burden European citizens. The STOP project will address this need through the foundation of an innovative platform to support persons with obesity with a better nutrition under supervision of healthcare professionals. Therefore, the STOP platform will capture various PwO data from different kind of smart sensor streams and chatbot technology, manage and enrich available data with existing knowledge bases and fuse these by machine learned driven data fusion approaches for sophisticated AI data analysis. Essentially, this gathered and analysed data and knowledge is accessible and usable for Health Care professionals amongst others as input for a gamification approach to teach PwO healthier nutrition. In the STOP validation an app that establishes an analogy to Dorian Gray mirror, teaching healthier nutrition.