Abstract

Neural networks have grown to a crescendo, becoming a cornerstone of current artificial intelligence (AI) systems. They are used in diverse real-world applications in nearly every domain, including medicine, arts, humanities, and social sciences. However, only a few works have applied them to Byzantine sigillography. This paper addresses the specificities of Byzantine seal images and how neural network algorithms must be adapted to help with their analysis. We also discuss the challenges, opportunities, and potential of combining different artificial intelligence methods to analyze Byzantine seals. Les réseaux neuronaux ont connu un essor considérable, devenant une composante essentielle des systèmes actuels d’intelligence artificielle (IA). Ils sont utilisés dans diverses applications concrètes dans presque tous les domaines, notamment la médecine, les arts, les sciences humaines et sociales. Cependant, seuls quelques travaux les ont appliqué à la sigillographie byzantine. Cet article aborde les particularités des images de sceaux byzantins et comment les algorithmes de réseaux neuronaux doivent être adaptés pour faciliter leur analyse. Nous discutons également des défis, des opportunités et du potentiel de combiner différentes méthodes d’intelligence artificielle pour analyser les sceaux byzantins.

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