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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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Claim

Quand l'IA s'invite au musée : le projet TORNE-H au Musée des Arts Décoratifs de Paris

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 19 May 2025 French Publisher:GTSO Données de Couperin
Authors: Bermes, Emmanuelle;

doi: 10.5281/zenodo.15465180 , 10.5281/zenodo.15465179

Quand l'IA s'invite au musée : le projet TORNE-H au Musée des Arts Décoratifs de Paris

Abstract

Le projet TORNE-H, débuté en octobre 2024, vise à démontrer la valeur ajoutée de l'IA pour le traitement des collections par le personnel scientifique du Musée des Arts Décoratifs et à tester l’intégration des données générées au sein des processus métiers propres à la gestion des collections nationales. Mené par Emmanuelle Bermès et Marion Charpier à l'École nationale des chartes, le projet s'inscrit également dans les travaux de communautés telles que le consortium Huma-Num PictorIA et le chapitre francophone AI4LAM. La présentation a été réalisée lors du webinaire proposé par le GTSO Données de Couperin le lundi 19 mai 2025. Replay : https://www.canal-u.tv/chaines/couperin/gtso-donnees 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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