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Today developers lack tools that enable the development of complex workflows involving HPC simulation and modelling with data analytics (DA) and machine learning (ML). The eFlows4HPC project aims to deliver a workflow software stack and an additional set of services to enable the integration of HPC simulation and modelling with big data analytics and machinelearning in...

Un dels principals obstacles per l'aplicació del coneixement sobre el cervell humà és lafragmentació de la investigació i les dades que produeix. Es necessita una iniciativa coordinada que utilitzi les tecnologies de la informació i comunicació emergents per integraraquestes dades en una visió unificada del cervell com...

Digital twins, along with the Internet of Things and Edge computing , are expected to play a decisive role in the nextdecade s industrial markets (Industry 4.0) enabling dramatic improvements in complex systems design and operation.However, this technology has not been yet widely implemented, since it requires the collaboration of experts in multiple fieldsand costly...

Life Sciences have become increasingly digital and this is accelerating. Computational techniques play key roles in processing, analysis and generating new knowledge from experiments, even in replacing them. This has been enabled due to tremendous advances in techniques such as docking and molecular simulations at both atomistic and quantum levels to which world-leading...

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