
IBM (Ireland)
IBM (Ireland)
56 Projects, page 1 of 12
assignment_turned_in Project2014 - 2017Partners:RSM, N.T.A-METROPOLITAN MASS TRANSIT SYSTEM LTD, Technion – Israel Institute of Technology, TU Delft, CNR +5 partnersRSM,N.T.A-METROPOLITAN MASS TRANSIT SYSTEM LTD,Technion – Israel Institute of Technology,TU Delft,CNR,IBM (United States),KTH,IBM (Ireland),HAIFA MUNICIPALITY,AZIENDA VENEZIANA DELLA MOBILITA SPAFunder: European Commission Project Code: 609042more_vert assignment_turned_in Project2013 - 2017Partners:CIT, EQUA Simulation (Sweden), University of La Rochelle, Schneider Electric (France), TUD +13 partnersCIT,EQUA Simulation (Sweden),University of La Rochelle,Schneider Electric (France),TUD,CITTA DI TORINO,TBC,TEKEVER,POLITO,NXP (Netherlands),CSEM,IBM (United States),IREC,TBC Innovations (France),ZEDFACTORY,Agglomeration Community of La Rochelle,AMIRES SRO,IBM (Ireland)Funder: European Commission Project Code: 608790more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2020 - 2023Partners:PNO INNOVATION SL, IBM (United States), CERTH, DHL EXEL, ARTICLE NUMBERING CENTER OF CHINA +30 partnersPNO INNOVATION SL,IBM (United States),CERTH,DHL EXEL,ARTICLE NUMBERING CENTER OF CHINA,Hardt B.V.,UIRR scrl,CITYLOGIN IBERICA SL,IBM (Ireland),NEW OPERA,ECTU (ESC),SIEC BADAWCZA LUKASIEWICZ - POZNANSKI INSTYTUT TECHNOLOGICZNY,ILiM,CATS,Panteia,Wuppertal Institute for Climate, Environment and Energy,ITAINNOVA,ONTOTEXT AD,COSCOEL,VLTN,COSCO SPAIN,NEW GENERATION SENSORS SRL,GS1 Polska,POCZTA POLSKA SA,KONNECTA SYSTEMS LIMITED,INLECOM GROUP,VPF,ROHLIG SUUS LOGISTICS S.A.,CPLS - COMUNIDADE PORTUARIA E LOGISTICA DE SINES,BEIJING JINGDONG ZHENSHI INFORMATION TECHNOLOGY CO. LTD,BLOCKCHAIN FIELDLAB BV,EGTC,ZLC,eBOS Technologies (Cyprus),EURFunder: European Commission Project Code: 860274Overall Budget: 7,097,670 EURFunder Contribution: 7,037,670 EURPLANET addresses the challenges of assessing the impact of emerging global trade corridors on the TEN-T network and ensuring effective integration of the European to the Global Network by focusing in two key R&D pillars: • A Geo-economics approach, modelling and specifying the dynamics of new trade routes and its impacts on logistics infrastructure & operations, with specific reference to TEN-T, including peripheral regions and landlocked developing countries; • An EU-Global network enablement through disruptive concepts and technologies (IoT, Blockchain and PI, 5G, 3D printing, autonomous vehicles /automation, hyperloop) which can shape its future and address its shortcomings, aligned to the DTLF concept of a federated network of T&L platforms. PLANET goes beyond strategic transport studies, and ICT for transport research, by rigorously modelling, analysing, demonstrating & assessing their interactions and dynamics thus, providing a more realistic view of the emerging T&L environment. The project employs 3 EU-global real-world corridor Living Labs including sea and rail for intercontinental connection and provides the experimentation environment for designing and exploiting future PI-oriented Integrated Green EU-Global T&L Networks [EGTN]. To facilitate this process, PLANET delivers a Symbiotic Digital Clone for EGTNs, as an open collaborative planning tool for TEN-T Corridor participants, infrastructure planners, and industry/technology strategists. PLANET also delivers an Active Blueprint and Road Map, providing guidance and building public & private actor capacity towards the realisation of EGTNs, and facilitating the development of disadvantaged regions. The project engages major T&L stakeholders, contributing to both strategy and technology and (importantly) has the industry weight and influence to create industry momentum in Federated Logistics and TEN-T’s integration into the Global Network.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2020 - 2024Partners:IBM (Ireland), BSC, VRT, University of Bucharest, QMUL +26 partnersIBM (Ireland),BSC,VRT,University of Bucharest,QMUL,RAI,University of Malta,LOBA,IBM (United States),CERTH,Aristotle University of Thessaloniki,University of Florence,KUL,UNIVERSITE COTE D'AZUR,CEA,University of Trento,HES-SO,Institut de recherche Idiap,BEELD EN GELUID,GRASSROOTS ARTS AND RESEARCH UG (HAFTUNGSBESCHRANKT),Joanneum Research,IRCAM,MODL.AI APS,DW,F6S IE,INTERDIGITAL R&D FRANCE,FHG,UvA,IMAGGA TEHNOLADZHIS,ATC,CNRFunder: European Commission Project Code: 951911Overall Budget: 11,999,700 EURFunder Contribution: 11,999,700 EURMotivated by the challenges, risks and opportunities that the wide use of AI brings to media, society and politics, AI4Media aspires to become a centre of excellence and a wide network of researchers across Europe and beyond, with a focus on delivering the next generation of core AI advances to serve the key sector of Media, to make sure that the European values of ethical and trustworthy AI are embedded in future AI deployments, and to reimagine AI as a crucial beneficial enabling technology in the service of Society and Media. The AI4Media consortium, comprising 30 leading partners in the areas of AI and media (9 universities, 9 research centres, 12 industrial partners) and 35 associate members, will establish the networking infrastructure to bring together the currently fragmented European AI landscape in the field of media, and foster deeper and long-running interactions between academia and industry, including Digital Innovation Hubs. It will also shape a research agenda for media AI research, and implement research and innovation both with respect to cutting-edge technologies at the core of AI research, and within specific fields of media-related AI. AI4Media will provide a targeted funding framework through open calls, to speed up the uptake of innovations developed within the network. A PhD programme will further enhance links to the industry and the fostering and exchange of talent, while providing motivation to prevent brain drain, and a set of use cases will be developed by the network to demonstrate the impact of the achieved advances in the media sector. The Excellence Centre that is established during the AI4Media project, and the ecosystem that will grow around it, will provide a long-term basis for the support of AI excellence in Europe, long after the project end, with the aim of ensuring that Ethical AI guided by European values assumes a global leading role in the field of Media.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2018 - 2021Partners:LEBECHE SPAIN SL, SPAROS LDA, AWI, SCSFRI, Ca Foscari University of Venice +16 partnersLEBECHE SPAIN SL,SPAROS LDA,AWI,SCSFRI,Ca Foscari University of Venice,University of Stirling,Dalhousie University,THUENEN-INSTITUTE,CSIC,ZUT,ANFACO-CEC,WAISTER AS,Sagremarisco-Viveiros de Marisco Lda,IBM (United States),SHP,IBM (Ireland),GIFAS,AGRIFOOD AND BIOSCIENCES INSTITUTE,WU,LONGLINE ENVIRONMENT,IASMAFunder: European Commission Project Code: 773330Overall Budget: 6,180,270 EURFunder Contribution: 5,998,800 EURGAIN is designed to support the ecological intensification of aquaculture in the European Union (EU) and the European Economic Area (EEA), with the dual objectives of increasing production and competitiveness of the industry, while ensuring sustainability and compliance with EU regulations on food safety and environment. Eco-intensification of European aquaculture is a transdisciplinary challenge that requires the integration of scientific and technical innovations, new policies and economic instruments, as well as the mitigation of social constraints. Successful eco-intensification of aquaculture will provide more and better aquatic products, more jobs, and improve trade balance by reducing imports. GAIN, besides looking at innovative ways of integrating cultured species, will seek integration with other sectors, in order to promote the implementation of the principles of circular economy in Aquaculture. The GAIN Consortium includes a wide range of complementary expertise and a well blended mix of research institutes and industrial partners, which will ensure the achievement of the following specific objectives: (i) Develop and optimize sustainable feeds, without increasing the pressure on land and fish stocks; (ii) Add value to cultivation, by means of innovative processes, which turn both by-products and side-streams into valuable secondary materials, thus increasing profits and minimizing the environmental footprint; (ii) Improve the management of finfish and shellfish farms, in terms of FCR, fish welfare and reduction of wastes, through the use of sensors, biomarkers, Big Data, IoT (Internet of Things) and predictive mathematical models; (iv) Support integrated policies and address current barriers to the implementation of the principles of circular economy in aquatic production.
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1 Organizations, page 1 of 1
corporate_fare Organization United StatesWebsite URL: http://www.ibm.com/more_vert