
ARX.NET S.A.
ARX.NET S.A.
6 Projects, page 1 of 2
Open Access Mandate for Publications and Research data assignment_turned_in Project2017 - 2020Partners:CCMA, UAB, UPM, ARX.NET S.A., ENGINEERING - INGEGNERIA INFORMATICA SPA +4 partnersCCMA,UAB,UPM,ARX.NET S.A.,ENGINEERING - INGEGNERIA INFORMATICA SPA,Fundación CNSE,UICI,CERTH,MEDIAVOICE SRLFunder: European Commission Project Code: 761999Overall Budget: 3,857,000 EURFunder Contribution: 3,253,250 EUROne of the many challenges people with various degrees of disabilities face (visually or hearing impaired) is their inability and difficulty to access mainstream products and services thus being excluded from enjoying audio-visual services on an equal basis as people without disabilities. Marginalising people with disabilities on this level is a critical and problematic issue, especially in today’s “Information Society”, where access to information should be freely available to all, in order for each individual to be able to reach his/her maximum potential, personally, professionally and socially. While these challenges have been identified, they have not been addressed yet efficiently since existing solutions still inherit characteristics of the analogue TV or just focus on traditional TV viewing. In this context, the EasyTV system aims not only to ease the access to multimedia services, by offering novel media delivery mechanisms but also to move one step further, by enhancing interaction based on a multi-language approach, and adapt it to the user’s preferences providing personalised content in a integrated single multiterminal platform. Specifically EasyTV will be based on four pillars: a) Improved access services for enhanced multimedia visual and sound experience for people with disabilities. b) Improved personalisation of the content experiencing and interaction, towards a hyper-personalised experience to all. c) Novel technologies to break the sign language barrier (based on crowdsourcing techniques). d) Improvement and development of voice and gesture/gaze recognition to control the TV set and TV applications (e.g., eye movement or head movement) in the form of a universal remote control. Different testing with users will establish a close cooperation by exchanging experiences among the different partners and user groups, in order to enhance the whole evaluation and validation process of the EasyTV technology
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda__h2020::1f9d16e182859b4a5fda7230259328b0&type=result"></script>'); --> </script>
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2027Partners:Q-PLAN NORTH GREECE, Aristotle University of Thessaloniki, Research and Innovation Management GmbH, Koç University, SEERC +7 partnersQ-PLAN NORTH GREECE,Aristotle University of Thessaloniki,Research and Innovation Management GmbH,Koç University,SEERC,ARX.NET S.A.,WFA Collaborative OU,WHITE RESEARCH SPRL,ML DIGITAL SERVICES,Università Luigi Bocconi,LE RESEAU DES REGIONS ET DES AIRESMETROPOLITAINES D'EUROPE,University of TwenteFunder: European Commission Project Code: 101132497Overall Budget: 2,798,320 EURFunder Contribution: 2,798,320 EURR-Map aims to analyze the impact of remote working arrangements (RWAs) on the disparities between urban and rural regions in Europe. The project bases its research on the premise that understanding and shaping the trends related to the emergence of RWAs provides an opportunity to bridge the urban-rural divide affecting its multiple facets. To achieve its goals, R-Map will produce an Integrated Impact Assessment Framework (powered by the R-Map model) that will allow the assessment of individual, social, economic, environmental and spatial impacts of RWAs. A visualization platform will be developed leveraging the R-Map model to provide visualization and interactive services allowing decision-makers to monitor and assess how remote work arrangements affect people, communities, space, economy, and environment in urban and rural regions. The developed tools will be applied at local level to monitor and assess current remote working trends across six representative use-cases in the EU and the AC, in regions within Greece, United Kingdom, Italy, Turkey, Netherlands-Germany, Austria-Switzerland (two cross-border cases). Using scenario building and forecasting methodologies, R-Map will move on to explore the potential future impact of remote work in these regions for the next 5-10 years and formulate policy recommendations on how to create environments conducive to remote work, that are tailored to the needs of local governments in both urban and rural settings. Cross-regional exchanges between stakeholders and policy roundtables will help move beyond the regional focus ensuring the replication of results across areas with different characteristics in Europe and beyond. By taking a comprehensive approach to research on RWAs, R-Map addresses the role and the needs of policymakers, employers, workers, researchers, and civil society, providing capacity to urban and rural regions to seize the opportunities and cope with the challenges brought by remote work.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2026Partners:UPC, BIT&BRAIN TECHNOLOGIES, PAL ROBOTICS, National Centre of Scientific Research Demokritos, FOUR DOT INFINITY LYSEIS PLIROFORIKIS KAI EPIKOINONION IDIOTIKI KEFALAIOUCHIKI ETAIREIA +11 partnersUPC,BIT&BRAIN TECHNOLOGIES,PAL ROBOTICS,National Centre of Scientific Research Demokritos,FOUR DOT INFINITY LYSEIS PLIROFORIKIS KAI EPIKOINONION IDIOTIKI KEFALAIOUCHIKI ETAIREIA,UCD,EIT DIGITAL,Laurea University of Applied Sciences,Technische Universität Braunschweig,ATOS IT,FHG,ARCADA UNIVERSITY OF APPLIED SCIENCES LTD,Q-PLAN NORTH GREECE,KUL,INRIA,ARX.NET S.A.Funder: European Commission Project Code: 101135782Overall Budget: 8,605,770 EURFunder Contribution: 8,605,770 EURMANOLO will deliver a complete stack of trustworthy algorithms and tools to help AI systems reach better efficiency and seamless optimization in their operations, resources and data required to train, deploy and run high-quality and lighter AI models in both centralised and cloud-edge distributed environments. It will push the state of the art in the development of a collection of complementary algorithms for training, understanding, compressing and optimising machine learning models by advancing research in the areas of: model compression, meta-learning (few-shot learning), domain adaptation, frugal neural network search and growth and neuromorphic models. Novel dynamic algorithms for data/energy efficient and policy-compliance allocation of AI tasks to assets and resources in the cloud-edge continuum will be designed, allowing for trustworthy widespread deployment. To support these activities a data management framework for distributed tracking of assets and their provenance (data, models, algorithms) and a benchmark system to monitor, evaluate and compare new AI algorithms and model deployments will be developed. Trustworthiness evaluation mechanisms will be embedded at its core for explainability, robustness and security of models while using the Z-Inspection methodology for TrustworthyAI assesment, helping AI systems conform to the new AI Act regulation. MANOLO will be deployed as a toolset and tested in lab environments via Use Cases with different distributed AI paradigms within cloud-edge continuum settings; it will be validated in verticals such as health, manufacturing, and telecommunications aligned with ADRA identified market opportunities, and with a granular set of embedded devices covering robotics, smartphones, IoT as well as using Neuromorphic chips. MANOLO will integrate with ongoing projects at EU level developing the next operating system for cloud-edge continuum, while promoting its sustainability via the AI-on-demand platform and EU portals.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2027Partners:UB, EUROPEAN SOCIAL NETWORK, WHITE RESEARCH SPRL, EUROPEAN NETWORK OF MIGRANT WOMEN, Q-PLAN NORTH GREECE +13 partnersUB,EUROPEAN SOCIAL NETWORK,WHITE RESEARCH SPRL,EUROPEAN NETWORK OF MIGRANT WOMEN,Q-PLAN NORTH GREECE,ASOCIATIA NATIONALA PENTRU DEZVOLTARE RURALA MONTANA ROMONTANA,MEDITERRANEAN INSTITUTE FOR NATURE AND ANTHROPOS,ARX.NET S.A.,European Rural Development Network,University of Groningen,ČZU,SEE,PC,SEERC,THE WHEEL,L'ADAPT,Koç University,EASPDFunder: European Commission Project Code: 101136592Overall Budget: 4,999,990 EURFunder Contribution: 4,999,990 EURINSPIRE project supports sustainable and inclusive development of European rural areas by promoting social wellbeing and inclusion of rural dwellers and vulnerable groups. In particular, the project contributes to advancing in a multi-dimensional way the concept of social inclusion in rural areas, and supports the access to high-quality social services by rural citizens through a series of awareness-raising, capacity-building, and pilot deployment activities that focus on social entrepreneurship in a set of 7 different pilot territories (e.g., coastal, rural, peri-urban, mountainous). To realise its objectives, the project provides a novel territorial typology of rural areas, sets up and operationalises "Smart Village labs", and enhances governance frameworks and informed policy making through E-Democracy and user-innovation techniques, to eventually deliver a dedicated Rural Social Inclusion Policy Dashboard.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2027Partners:SPRING – SUSTAINABLE PROCESSES AND RESOURCES FOR INNOVATION AND NATIONAL GROWTH, WHITE RESEARCH SPRL, UM, University of Novi Sad, University of Hohenheim +16 partnersSPRING – SUSTAINABLE PROCESSES AND RESOURCES FOR INNOVATION AND NATIONAL GROWTH,WHITE RESEARCH SPRL,UM,University of Novi Sad,University of Hohenheim,Energy Institute Hrvoje Požar,BIOCOM INTERRELATIONS GMBH,BIOECONOMY CLUSTER,CIRCE,ARX.NET S.A.,INCE,FORZA,University of Novi Sad, Faculty of Technical Sciences,European Rural Development Network,RARR,CERTH,MEDITERRANEAN INSTITUTE FOR NATURE AND ANTHROPOS,Q-PLAN NORTH GREECE,BALKANSKA MREZHA ZA RURALEN RAZVOJ SKOPJE,AGRICULTURAL UNIVERSITY PLOVDIV,ULBSFunder: European Commission Project Code: 101134911Overall Budget: 4,999,460 EURFunder Contribution: 4,999,460 EURRIBES will address the need to enhance the uptake of biobased innovations through pioneering governance and business models developed on the convergence of the circular bioeconomy, social innovation and rural development, thus contributing to the shift from a linear to a circular economy in 9 European regions lagging in innovation. Project activities will focus on specific sub-national levels but will also encompass proactive dissemination and replication at the country level. Participating regions have been selected based on various socio-economic indicators and data concerning the characteristics of the agricultural and biobased sectors, demographics, innovation capacity, etc. RIBES will perform an in-depth multidisciplinary assessment of regional bioeconomy ecosystems and research possible correlations between the socio-economic trends, innovation bottlenecks and the role of the primary sector. RIBES will create a significant impact by delivering innovative and tailored governance solutions and business models capable of fostering grass-rooted circular bioeconomy value chains, with particular attention devoted to the advanced sustainability of regional inclusive biobased entrepreneurship solutions, thus contributing to strengthening rural development and innovation in participating regions. RIBES will implement 9 local Multi-actor Transformative Forums (MTFs) based on the Living Lab and Open Innovation concepts to address complex societal challenges and problems by putting stakeholder participation and deliberation processes at the centre, aiming at systemic transformative change (instead of only addressing symptoms) in the three pillars of technological, social and economic innovation to co-create tailored business and governance models.
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