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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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New Horizons of Historical Research: Artificial Intelligence (AI) and Digital Humanities

Authors: Bhosale, Shubhangee B.;

New Horizons of Historical Research: Artificial Intelligence (AI) and Digital Humanities

Abstract

Artificial intelligence is an important branch of new technology related to computer science. AI gives machines the ability to think, learn, and make decisions like humans. AI is being used in all fields today. In today's modern era, AI has begun to be used while studying history. The use of AI has become important in modern thinking in historical research today. AI algorithm used to convert old manuscripts and engravings into digital form. AI is being used to read ancient scripts or other historical scripts and translate them into modern Marathi and English languages. AI is helping to re-read historical documents, find references between Marathi Bakhari, old historical documents and piece together scattered information within them. AI tools are being used to quickly find information about specific events, periods, or individuals from large volumes of historical texts. Even in excavations, AI is being used for historical research in a shorter period of time compared to traditional tools, making it possible to conduct historical research in a shorter time. The present research paper studies the various changes that have taken place in historical research using AI.

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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
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