
DS TECH SRL
DS TECH SRL
7 Projects, page 1 of 2
Open Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2026Partners:CORDIA AE, CARTIF, EURAC, VEOLIA, BEEPLANET FACTORY SL +32 partnersCORDIA AE,CARTIF,EURAC,VEOLIA,BEEPLANET FACTORY SL,One Team Srl,EHP,RINA-C,YODIWO MONOPROSOPI AE,BEEPLANET FACTORY SL,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,DS TECH SRL,MIASTO GDYNIA,ICONS,CITY OH HELSINKI,Fasada,EURAC,ENGINEERING - INGEGNERIA INFORMATICA SPA,HOLISTIC IKE,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,Fasada,YODIWO MONOPROSOPI AE,CITY OH HELSINKI,ENGINEERING - INGEGNERIA INFORMATICA SPA,RINA-C,EHP,VEOLIA,One Team Srl,CORDIA AE,DS TECH SRL,ICONS,HOLISTIC IKE,NTUA,University of La Rochelle,CARTIF,MIASTO GDYNIA,General Electric (France)Funder: European Commission Project Code: 101104141Overall Budget: 6,737,900 EURFunder Contribution: 5,598,720 EURThe 2021 EPBD recast highlights buildings' central role in the energy transition towards an integrated and renewable energy-based EU energy system. Smarter buildings will support the digitalisation and decarbonisation transition to the benefit of building occupants, owners and the energy system. Improving energy performance and reducing energy demands are even more relevant in the context of the REPowerEU Plan to rapidly reduce dependence on Russian fossil fuels and accelerate the green transition. BuildON seeks to develop a highly replicable, generic solution to deliver intelligent building services, facilitate the integration of heterogeneous systems and technologies, and help Build the next generatiON of Smart buildings. The main objective of BuildON is to develop and demonstrate a Smart Transformer Toolbox at TRL8 to plan and achieve improved energy performance applicable to the broadest range of building typologies and smart readiness levels via a comprehensive demonstration campaign involving five representative real-life use cases. This toolbox will offer affordable, adaptative, close-to-market and easy-to-install SRI-aligned services to continuously Monitor, Assess, Predict and Optimise (MAPO services) a building’s performance. A unified representation of the building, exposed through a Universal Building API, will abstract all field-level communication complexity, allowing the energy devices’ homogeneous real-time monitoring and control. Moreover, the generation of (Maturity Level 3 and 4) Digital Twins will allow simulation and control of a building and its systems. User-friendly decision support and user empowerment tools for facility managers and occupants will be part of the toolbox to explore, understand and expand their buildings' smart capabilities. By providing a unified approach to interacting with buildings, the floor is offered to develop a building app store that significantly accelerates the Smart Transformation of existing and new buildings
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2021 - 2025Partners:DS TECH SRL, LAB4LIFE SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA, UG, PERSONAL GENOMICS SRL, FC.ID +29 partnersDS TECH SRL,LAB4LIFE SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA,UG,PERSONAL GENOMICS SRL,FC.ID,EURECAT,CARETRONIC RAZVOJ IN PROIZVODNJA NAPREDNIH INFORMACIJSKIH RESITEV D.O.O.,UoA,UoA,Open Evidence,University of Zaragoza,PREDICTBY RESEARCH AND CONSULTING S.L.,CARETRONIC RAZVOJ IN PROIZVODNJA NAPREDNIH INFORMACIJSKIH RESITEV D.O.O.,NTUU "KPI",LETI,Lund University,University of Edinburgh,DS TECH SRL,USTAN,HEALTH POLICY INSTITUTE CIVIL NON FOR PROFIT COMPANY,USTAN,EURECAT,INT,EURICE EUROPEAN RESEARCH AND PROJECT OFFICE GMBH,LAB4LIFE SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA,University of Rome Tor Vergata,NTUU "KPI",HEALTH POLICY INSTITUTE CIVIL NON FOR PROFIT COMPANY,PERSONAL GENOMICS SRL,CHUG,Open Evidence,PREDICTBY RESEARCH AND CONSULTING S.L.,University of Vienna,EURICE EUROPEAN RESEARCH AND PROJECT OFFICE GMBHFunder: European Commission Project Code: 101017453Overall Budget: 8,479,900 EURFunder Contribution: 8,479,900 EURAI-empowered Personalized Medicine promises to find tailored, targeted, nearly “hand-made” cures for patients. Cancer treatment desperately needs boosters to find tailored, targeted cures for patients and Personalized Medicine can play a crucial role. Tailored targeted therapies in cancer treatment are already a reality but the current practice of targeted therapies in cancer treatment has been derived with traditional methods of data analysis. AI-empowered Personalized Medicine may help to bring targeted therapies to the next level. However, no matter how precise it is, no matter how many lives it can save in principle, and no matter if it can utilize the entire medical knowledge. If clinicians do not understand its suggestions and decisions, AI-empowered Personalized Medicine will not be a game changer, clinicians will not use it to make everyday decisions and, thus, it is doomed to fail. Hence, the real challenge is building AI-empowered Personalized Medicine systems that can be accepted by clinicians and clinical researchers. In KATY, we grasp the above challenge and we propose an AI-empowered Personalized Medicine system that can bring medical “AI-empowered knowledge” to the tips of the fingers of clinicians and clinical researchers. The AI-empowered knowledge is a human interpretable knowledge that clinicians and clinical researchers can: understand, trust and effectively use in their everyday working routine. KATY is then a AI-empowered Personalized Medicine system built around two main components: A Distributed Knowledge Graph and A pool of eXplainable Artificial Intelligence predictors. As a stress test and due to the lack of personalized clinical responses, KATY will be experimented in a low prevalence and complex cancer: Clear cell renal cell carcinoma (ccRCC).
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2026Partners:CEPS, DEBUNK EU, EURACTIV MEDIA NETWORK, UPM, ENGINEERING - INGEGNERIA INFORMATICA SPA +23 partnersCEPS,DEBUNK EU,EURACTIV MEDIA NETWORK,UPM,ENGINEERING - INGEGNERIA INFORMATICA SPA,DS TECH SRL,CEPS,STICHTING RADBOUD UNIVERSITEIT,ENGINEERING - INGEGNERIA INFORMATICA SPA,CENTRE FOR RESEARCH AND TECHNOLOGY HELLAS CERTH,SISTEMI NALDER SRL,EIPCM,EIPCM,FBK,SISTEMI NALDER SRL,UNICAL,STICHTING RADBOUD UNIVERSITEIT,EurActiv (Belgium),KEMPELEN INSTITUTE OF INTELLIGENT TECHNOLOGIES,DS TECH SRL,DW,CERTH,EurActiv (Belgium),DEBUNK EU,KEMPELEN INSTITUTE OF INTELLIGENT TECHNOLOGIES,DW,ATC,EURACTIV MEDIA NETWORKFunder: European Commission Project Code: 101135437Funder Contribution: 4,969,470 EURThe media sector is exposed to and undergoing continuous innovations that occur at a pace never seen before and have a non-negligible impact on citizens, democracy and a society as whole. A significant booster becomes a generative Artificial Intelligence, which already plays and will continue to play a critical role (in a positive as well as negative meaning) in creating and spreading information. Especially in next-generation social media, which refer to the anticipated evolution towards more AI-based decentralised and immersive virtual environments (like fediverses and metaverses), generative AI can become the most prominent enabler of disinformation growth accompanied by a lack of trusted information. Media professionals are not, however, currently well-equipped with supporting tools nor knowledge to operate in such already emerging environments. As a result, there is a tremendous need for innovative (AI-based) solutions ensuring media freedom and pluralism, delivering credible and truthful information as well as combating highly disinformative content. The main goal of the AI-CODE project is to evolve state-of-the-art research results (tools, technologies, and know-how) from the past and ongoing EU-funded research projects focused on disinformation to a novel ecosystem of services that will proactively support media professionals in trusted information production through AI. First, the project aims to identify, analyse, and understand future developments of next-generation social media in the context of rapid development of generative Artificial Intelligence and how such a combination can impact the (dis)information space. Second, the project aims to provide media professionals with novel AI-based services to coach them how to work in emerging digital environments and how to utilise generative AI effectively and credibly, to detect new forms of content manipulation, as well as to assess the reputation and credibility of sources and their content.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2022 - 2025Partners:Polytechnic University of Milan, OTE, INNOVALIA, National Centre of Scientific Research Demokritos, Prodevelop (Spain) +46 partnersPolytechnic University of Milan,OTE,INNOVALIA,National Centre of Scientific Research Demokritos,Prodevelop (Spain),DS TECH SRL,INNOVALIA,MADE SCARL,EIGHT BELLS LTD,UPV,DS TECH SRL,TELEFONICA INNOVACION DIGITAL SL,EIGHT BELLS LTD,INFOLYSIS,INQBIT INNOVATIONS SRL,CLOUDFERRO SA,EUROGATE CONTAINER TERMINAL LIMASSOL LIMITED,Siemens (Germany),Telefonica Research and Development,EUROGATE CONTAINER TERMINAL LIMASSOL LIMITED,JD,TTControl,Prodevelop (Spain),Ericsson (Ireland),S21SEC GES,FOGUS INNOVATIONS & SERVICES P.C.,JD,NASERTIC,ICTFICIAL OY,INQBIT INNOVATIONS SRL,ICTFICIAL OY,FOGUS INNOVATIONS & SERVICES P.C.,CUT,TELEFONICA INNOVACION DIGITAL SL,TTControl,CLOUDFERRO SA,INFOLYSIS,COSMOTE,Telefonica Research and Development,FIWARE,ELECTRUM CONCREO SP ZOO,S21SEC GES,L.M. ERICSSON LIMITED,IBSPAN,HELLENIC TELECOMMUNICATIONS ORGANIZATION SA,COSMOTE,FIWARE,MADE SCARL,NASERTIC,Siemens (Germany),IBSPANFunder: European Commission Project Code: 101069732Overall Budget: 11,828,900 EURFunder Contribution: 11,828,900 EURThe project aerOS aims at transparently utilising the resources on the edge-to-cloud computing continuum for enabling applications in an effective manner, incorporating multiple services deployed on such a path. Therefore, aerOS will establish the missing piece: a common meta operating system that follows a collaborative IoT-edge–cloud architecture supporting flexible deployments (e.g., federated or hierarchical), bringing tremendous benefits as it enables the distribution of intelligence and computation – including Artificial Intelligence (AI), Machine Learning (ML), and big data analytics – to achieve an optimal solution while satisfying the given constraints. The overarching goal of aerOS is to design and build a virtualized, platform-agnostic meta operating system for the IoT edge-cloud continuum. As a solution, to be executed on any Infrastructure Element within the IoT edge-cloud continuum – hence, independent from underlying hardware and operating system(s) – aerOS will: (i) deliver common virtualized services to enable orchestration, virtual communication (network-related programmable functions), and efficient support for frugal, explainable AI and creation of distributed data-driven applications; (ii) expose an API to be available anywhere and anytime (location-time independent), flexible, resilient and platform-agnostic; and (iii) include a set of infrastructural services and features addressing cybersecurity, trustworthiness and manageability. aerOS will: (a) use context-awareness to distribute software task (application) execution requests; (b) support intelligence as close to the events as possible; (c) support execution of services using “abstract resources” (e.g., virtual machines, containers) connected through a smart network infrastructure; (d) allocate and orchestrate abstract resources, responsible for executing service chain(s) and (e) support for scalable data autonomy.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2026Partners:INESC TEC, BLUEPRINT ENERGY SOLUTIONS GMBH, GREEN ENERGY AGGREGATOR SERVICES A.E., UCC, DS TECH SRL +47 partnersINESC TEC,BLUEPRINT ENERGY SOLUTIONS GMBH,GREEN ENERGY AGGREGATOR SERVICES A.E.,UCC,DS TECH SRL,DCSIX TECHNOLOGIES LIMITED,COMSENSUS D.O.O.,ENGINEERING - INGEGNERIA INFORMATICA SPA,Audencia Business School,OURPOWER ENERGIEGENOSSENSCHAFT SCE MIT BESCHRANKTER HAFTUNG,DCSIX TECHNOLOGIES LIMITED,ESB INNOVATION ROI LIMITED,COMSENSUS D.O.O.,ICLEI EURO,ENASCO CLEANTECH ALLIANCE KORLATOLT FELELOSSEGU TARSASAG,INESC TEC,ENERGEIAKI KOINOTITA CHALKIS - ENE.KOI.CHA,COOPERATIVE ELECTRICA DO VALE DESTE CRL,COOPERNICO,EPRI EUROPE DAC,CUERVA ENERGIA SLU,HELLENIC ASSOCIATION FOR ENERGY ECONOMICS,MONTAJES ELECTRICOS CUERVA S.L.,BLUEPRINT ENERGY SOLUTIONS GMBH,ED LUXEMBOURG,BEKESCSABA ENERGIA ESCO KFT.,ENERGEIAKI KOINOTITA CHALKIS - ENE.KOI.CHA,ENGINEERING - INGEGNERIA INFORMATICA SPA,Dingle Hub,CARTIF,REGULATORY ASSISTANCE PROJECT,ED LUXEMBOURG,BEKESCSABA ENERGIA ESCO KFT.,WATT-IS SA,ICLEI EURO,HELLENIC ASSOCIATION FOR ENERGY ECONOMICS,ESB INNOVATION ROI LIMITED,EPRI EUROPE DAC,NTUA,ENASCO CLEANTECH ALLIANCE KORLATOLT FELELOSSEGU TARSASAG,Dingle Hub,DS TECH SRL,COOPERATIVE ELECTRICA DO VALE DESTE CRL,PARTY PLATFORM PC,Audencia Business School,CARTIF,WATT-IS SA,GREEN ENERGY AGGREGATOR SERVICES A.E.,PARTY PLATFORM PC,OURPOWER ENERGIEGENOSSENSCHAFT SCE MIT BESCHRANKTER HAFTUNG,COOPERNICO,REGULATORY ASSISTANCE PROJECTFunder: European Commission Project Code: 101096354Overall Budget: 7,094,160 EURFunder Contribution: 5,999,720 EURENPOWER will design, develop and demonstrate SSH-driven methodologies, interactive and closed-loop tools, and data-driven services for energy-activated citizens and energy-secure cross-sector communities towards a citizen-centric energy system. We combine leading-edge ICTs with social/behavioural dimensions and with sharing economy and value stacking business models to deploy: 1) a Social Science Framework for energy citizens activation and innovative multi-dimensional incentives for citizens participation in energy markets; 2) AI-based consumers clustering and segmentation algorithms; 3) interactive tools and facilitation services for energy community planning; 4) Energy Data Space adaptation to support community-level data-driven activation and interoperable automated privacy and sovereignty-preserving Demand Response (DR); 5) P2P DLT/Blockchain digital marketplace for tokenized energy and non-energy assets reciprocal compensation; 6) data-driven services and apps for energy efficiency and activation performance management; 7) ICT services and Digital Twins for community-level energy optimization and aggregated flexibility management to trade off local self-consumption against grid service provisioning, while boosting a beyond-energy community social welfare; 8) Edge monitoring hubs for automated DR; 9) Business Sandbox for novel sharing economy and social innovation-based business models; 10) methodologies for evaluating different energy community setups, upscaling and replication. ENPOWER framework will be validated along 4 Front Runners energy communities pilots and further replicated in 2 Early Adopters, covering different levels of maturity of communities, to demonstrate increased RES local self-consumption and consumers participation to the energy markets, while nurturing increased local security of supply. ENPOWER Leadership Programme and blueprints will support EU-wide replication and advice regulatory bodies on communities-friendly enabling frameworks.
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