Projecten
Global cooperation on FAIR data policy and practice Plantentuin Meise / Agentschap Plantentuin Meise
Naar een duurzaam Open Data ECOsysteem KU Leuven
The central aim of the ODECO consortium network is to train the next generation of creative and innovative early-stage open data researchers, to unlock their creative and innovative potential to address current and future challenges in the creation of user driven, circular and inclusive open data ecosystems. Current developments in the field of open data are characterised as highly fragmented. Open data ecosystems are often developed in ...
Ethical governance for clinical and genomic data KU Leuven
This NHMR project draws on the expertise of leading scholars and an interdisciplinary team to address pressing ethical, legal and social issues associated with clinical and genomic datasets. We will leverage our preliminary research in this and related areas, as well as our well-established links with professional bodies, government departments and industry alliances, to develop, implement and evaluate governance solutions for clinical and ...
Acties voor uitmuntendheid in Slimme Cyber-Physical systeem-applicaties door exploitatie van Big Data in het kader van productiecontrole en logistiek KU Leuven
EXCELL foresees the collaboration of academics from 4 European countries (Hungary, Germany, UK, Belgium) in the multidisciplinary topic of Big Data Applications for Cyber-Physical Systems in Production and Logistics Networks. The main scientific and innovation focus of EXCELL was devised both from world wide tendencies and local requirements, departing from the present competences of the cooperating partners (SZTAKI, Fraunhofer-FIT, Aston and ...
Nieuwe in-situ 3D-bosstructuur en biomassaramingen voor het valideren van lucht / ruimte-producten Universiteit Gent
3-D-FOREST zal zich richten op het verminderen van onzekerheden in schattingen van bovengrondse biomassa, gerelateerde koolstof- en bosstructuur met behulp van nieuwe in-situ 3D-laserscantechnieken en modelleringsbenaderingen.
De hardwareloterij overtreffen voor ingebedde AI KU Leuven
The next wave of smart applications in our society will need embedded devices (robots, wearables, etc.) with increased intelligence at much reduced energy and latency cost. Compared to current embedded platforms, up to 1000x efficiency gains could be achieved through tight processor-algorithm co-optimization. However, due to the slow development cycle of processor chips (many months to years) in comparison to algorithms (hours to weeks), this ...
Op AAI gebaseerde optimalisatie van gegevenslevenscycli en integratie van gegevensruimten voor meer efficiëntie en interoperabiliteit KU Leuven
PLIADES advances the SoA dataspaces reference architectures, towards a step change on the use of data as key enabler of technological advances in AI and Robotics. To this end, PLIADES researches into novel, AI-enabled tools to advance full data life cycles integration, both within and between data spaces. Sustainable data creation methods through data compression, filtering and normalization will be developed, to allow efficient and greener ...
Europese Federatie van datagestuurde innovatiehubs KU Leuven
EUHubs4Data will set up a European federation of Big Data Digital Innovation Hubs (DIHs), with the ambition of becoming a reference instrument for data-driven cross-border experimentation and innovation, and support the growth of European SMEs and start-ups in a global Data Economy.
Based on the concept “European catalogue, local offer”, EUHubs4Data will establish a Europe-wide, sustainable ecosystem drawing upon local expertise and ...