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Audiovisual . 2023
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Audiovisual . 2023
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Audiovisual . 2023
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Audiovisual . 2023
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Podcast: Synthetic 3D data and archeology. Régine Hunziker and Andrei Aioanei, Université de Strasbourg

Authors: Virtual Culture;

Podcast: Synthetic 3D data and archeology. Régine Hunziker and Andrei Aioanei, Université de Strasbourg

Abstract

Prof. Régine Hunziker-Rodewaldt und Andrei Aioanei sprechen über die Bedeutung von komplexen interoperablen Forschungsdaten. Insbesondere 3D-Datensätze werden immer wichtiger. Die beiden Forscher sprechen über Data Science mit 3D, aber auch über die Bedeutung von künstlicher Intelligenz. Prof. Régine Hunziker-Rodewaldt and Andrei Aioanei are speaking about the importance of complex interoperable research data. Especially 3D data sets become more important. Both researches speak about data science with 3D, and also the importance of artificial intelligence. Prof. Régine Hunziker-Rodewaldt e Andrei Aioanei parlano dell'importanza di dati di ricerca complessi e interoperabili. In particolare, i set di dati 3D diventano sempre più importanti. Entrambi i ricercatori parlano della scienza dei dati in 3D e dell'importanza dell'intelligenza artificiale. Prof. Régine Hunziker-Rodewaldt et Andrei Aioanei parlent de l'importance des données de recherche complexes et interopérables. Les ensembles de données en 3D deviennent particulièrement importants. Les deux chercheurs parlent de la science des données en 3D et de l'importance de l'intelligence artificielle.

This podcast recording was made on June 7th, 2023 in Rome, and reflects a momentary reflection of this theme at that time.

Keywords

interoperable, data sets, data science, 3D, artificial intelligence

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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!
0
Average
Average
Average