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[PARTNERSHIP] Scienta Lab x DataIA-Cluster to advance multimodal and explainable AI research
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We are pleased to announce the affiliation of Scienta Lab, a leader in artificial intelligence (AI)-driven precision immunology, to the DataIA-Cluster, in support of explainable and responsible AI research.We are pleased to announce the affiliation of Scienta Lab, a leader in artificial intelligence (AI)-driven precision immunology, to the DataIA-Cluster, in support of explainable and responsible AI research.
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More aboutScienta Lab is developing EVA, a proprietary multimodal foundation model dedicated to support drug development in immunology and inflammatio
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✨ Inauguration of IA Clusters ✨
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On January 24, the Saclay Inria center welcomed the 9 IA Clusters appointed by the Government in May 2024 as part of the France 2030 investment plan. Frédéric Pascal had the opportunity to present the DATAIA-Cluster project, led by the DATAIA Institute for Paris-Saclay University!
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In the presence of Élisabeth Borne, Minister of State and Minister of National Education, Higher Education and Research, Philippe Baptiste, Minister D
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Stages M2 financés
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Discover the internship subjects that won the annual call launched by DATAIA, which funds internships within its partner laboratories.
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En 2025, l'Institut DATAIA soutient la recherche dans les sciences des données, l'IA et leurs impacts sur la société par le biais de son appel à bours
List of funded internships, CEA/IRFU - MADAM (Machine Learning Algorithm for DArk Matter)CEA/CNRGH - Classification et caractérisation des sous types de cancer à partir de donnée
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AI Cluster
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The DATAIA Paris-Saclay Institute has just been officially accredited as an "AI-Cluster".
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In the context of supporting the emergence of world-class training clusters in the field of artificial intelligence (AI), training talent that meets t, Consult the press kit (FR version)
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ML4CFD
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Matthieu Nastorg and Tamon Nakano join the ML4CFD team, the research project co-funded by DATAIA, which applies machine learning to computational fluid dynamics simulation.
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Within the scope of the collaborative project IFPEN-Inria "Machine Learning for Computational Fluid Dynamics" (ML4CFD), a PhD student and a post-doc w
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The ML4CFD project, The ML4CFD project, winner of the call for research projects DATAIA 2020, is the result of a long collaboration between the Inria team TAU and IFPEN.
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HistorIA
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The HistorIA project, selected at the call for research projects launched in 2018 by the DATAIA Institute, will present two papers and a challenge at the conference IEEE VIS 2020.
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The IEEE VIS conference, the most important international conference in the field of visualization, will take place virtually from the 25th to the 30t
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Le projet « HistorIA », Directed by Jean-Daniel Fekete (Inria) and Christophe Prieur (Télécom Paris), the HistorIA project aims to develop large historical databases by apply
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The DATAIA seminars continue during the quarantine period: log-in from your computer and follow the talks of our guest experts!
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The DATAIA seminars, organized monthly to animate the research community in artificial intelligence are back! To face the current context, they are, Upcoming seminars
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Chapo
In order for them to focus on their research and work and not spend their time looking for funding, we should develop sponsorship for women who already work in AI.
Here is Julie Josse's testimony written by Tyler Gallagher for the web magazine "Medium".
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I think we should help sponsor women who are already working in the field of AI, so that they can focus on their research and work while having the op
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On Friday, April 5, DATAIA received the visit of Minister Florence Parly, to present the strategy of the Ministry of Armed Forces in terms of Artificial Intelligence.
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This visit was an opportunity for DATAIA to organise a showroom and present several projects on three themes to DATAIA and its guests.    Artifi
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On March 25 and 26, the teams of the DATAIA project "Bad Nudge, Bad robot" met the members of the CREST project "Experiential supplements" and DFKI. This meeting allowed the development of a framework for a collaborative project between DATAIA .
(France)/CREST(Japan)/DFKI(Germany)
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The project's experimental framework focuses on cognitive and emotional biases and nudges in verbal and visual interactions with robotic systems, chat
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