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Discovering the ancient Egyptian hieroglyphs with Deep Learning

Discovering the ancient Egyptian hieroglyphs with Deep Learning
Andrea Baruch, Michela Amendola, Fabrizio Argenti, Chiara Canfailla, Costanza Cucci, Tommaso Guidi, Lorenzo Python, Massimiliano Franci
Consiglio Nazionale delle Ricerche
Year of Publication

The First chapter goes over how the past looks into the future. This chapter looks at how the past guides how we look into the future. Looking specifically at the role of AI and its implications. Furthermore, the chapter explains the aims and objectives of the book while also looking at the future and what it holds in store in relation to AI.

The second chapter explains the Egyptian writing system looking at its development and explaining the evolution of the language. Furthermore, in this section, it looks at the development of the Coptic language in relation to the Egyptian language and how their development is intertwined. The chapter also looks into the development of the hieroglyphic writing system and the complexities and development of the writing system.

The third chapter & fourth chapters detail the patterns of the hieroglyphic systems highlighting both the patterns and complexities within the system. The fourth chapter looks at the applications of the hieroglyphic system and the classification of the system.

The fifth & sixth chapters discuss the analysis of ancient Egyptian artefacts from both the Egyptian Museum of Turin and the Egyptian Museum of New York explaining both the source of the data while also looking at papyrus a material heavily used in ancient Egypt. While at the Egyptian Museum of Turin, they looked specifically at the tombs that they had and studied them.

Chapters 7 & 8 Discuss the analysis of two further Egyptian museums this time in Florence and Maya and Byzantine artefacts from the Metropolitan Museum of New York. In New York, they looked at the results from both the Mayan and Byzantine artefacts. In Florence, they looked at the results of the Stela’s and Relefis.