Machine learning and information representation: New possibilities for digital archives (Book review: Nottorp, P. and Raymond, M. (eds) (2025) Artificial Intelligence, Archives and Manuscripts. New Relationships between the Virtual Archive and Its Referent. Edinburgh: University of Edinburgh) | Imagologiya i komparativistika – Imagology and Comparative Studies. 2025. № 23. DOI: 10.17223/24099554/23/18

Machine learning and information representation: New possibilities for digital archives (Book review: Nottorp, P. and Raymond, M. (eds) (2025) Artificial Intelligence, Archives and Manuscripts. New Relationships between the Virtual Archive and Its Referent. Edinburgh: University of Edinburgh)

The book Artificial Intelligence, Archives and Manuscripts. New Relationships between the Virtual Archive and Its Referent (2025) is presented. This collective monograph discusses both technological and legal, intellectual issues that researchers and archivists face in automated work with manuscript heritage, artificial intelligence and neural networks. The author declares no conflicts of interests.

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Keywords

machine learning, algorithm, monograph, research, artificial intelligence, neural network

Authors

NameOrganizationE-mail
Penskaya Elena N.National Research University Higher School of Economicse.penskaya@gmail.com
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References

 Machine learning and information representation: New possibilities for digital archives (Book review: Nottorp, P. and Raymond, M. (eds) (2025) <i>Artificial Intelligence, Archives and Manuscripts. New Relationships between the Virtual Archive and Its Referent</i>. Edinburgh: University of Edinburgh) | Imagologiya i komparativistika – Imagology and Comparative Studies. 2025. № 23. DOI: 10.17223/24099554/23/18

Machine learning and information representation: New possibilities for digital archives (Book review: Nottorp, P. and Raymond, M. (eds) (2025) Artificial Intelligence, Archives and Manuscripts. New Relationships between the Virtual Archive and Its Referent. Edinburgh: University of Edinburgh) | Imagologiya i komparativistika – Imagology and Comparative Studies. 2025. № 23. DOI: 10.17223/24099554/23/18

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