Foundation
    Models
    for future AI

    Artificial intelligence today is confined to the representation of the world found in datasets. We're building a new class of AI systems designed to gain a grounded understanding through direct interaction with the physical world.

    DVPS Abstract Visual

    The Research Project

    Fostering a European ecosystem for research and innovation

    DVPS is one of the most heavily backed projects in the Horizon Europe program, bringing together 20 leading organizations across 9 countries to advance the science and engineering of multimodal foundation models (MMFMs).

    We are developing an open-source toolkit to streamline the design, pre-training, fine-tuning, and modality expansion of MMFMs. It supports the reuse and composition of pre-trained models, reducing development time and cost while enhancing adaptability across modalities.

    Application Domains

    Language

    Enhancing how AI understands and communicates by combining speech, text, video, and gestures into inclusive, multilingual, and adaptive language technologies.

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    Health

    Overcoming the limitations of traditional models by unifying diverse cardiovascular data into multimodal AI systems that enhance diagnosis, prediction, and treatment planning.

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    Environment

    Empowering geo-intelligence by fusing diverse spatial, sensor, and textual data into multimodal AI systems for smarter disaster response, urban planning, and environmental forecasting.

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    Team

    Coordinator

    Translated

    Partners

    The Alan Turing Institute
    University of Oxford
    Eidgenössische Technische Hochschule Zürich
    EPFL
    KIT
    Fondazione Bruno Kessler
    Cyfronet HPC
    Pi School
    Heidelberg University Hospital
    Imperial College London
    Deepset
    Meteorological and Environmental Earth Observation
    Sistema GmbH
    Universitat de Barcelona
    Stichting Amsterdam
    Data Valley Consulting
    Lynkeus
    Vito
    Vall d'Hebron Hospital Institute

    Careers

    Postdoctoral Research Associate in Multimodal Foundation Models for Healthcare (Two Posts)

    Imperial College LondonLondon

    If you are an ambitious researcher ready to shape the future of AI for healthcare, Nightingale AI at Imperial College London is seeking two outstanding Postdoctoral Research Associates to help build next-generation multimodal foundation models that can learn from the full richness of health data.

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    Senior Deep Learning Scientist

    TranslatedRome

    With a PhD in Deep Learning, join us to define our research directions on DVPS, lead experiments on Europe's largest HPC infrastructure and promote our findings to the scientific community and world at large.

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    Senior Deep Learning Scientist

    Pi SchoolRome

    With a PhD in Deep Learning, join us to define our research directions on DVPS, lead experiments on Europe's largest HPC infrastructure and promote our findings to the scientific community and world at large.

    See full job position

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