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Anyone who closely follows the updates of the digital revolution and its most powerful outcome, artificial intelligence, will fully understand that no researcher, enthusiast, or beginner should ignore the implications, manifestations, and results of…
Anyone who closely follows the updates of the digital revolution and its most powerful outcome, artificial intelligence, will fully understand that no researcher, enthusiast, or beginner should ignore the implications, manifestations, and results of this truly remarkable revolution. The topic of "The Role of Artificial Intelligence in Restoring Ancient Texts and Analyzing Historical Documents" is a subset of the broader subject of how AI tools are modernizing the field of humanities. This specific area has aligned with and leveraged the technology and digitization revolution to create a new branch of the humanities, whose methodologies, nuances, and outcomes surpass all expectations. In our study, we will explore a series of practical steps and applied methodologies on the role of AI tools in historical studies, specifically focusing on analyzing historical documents, identifying their symbols and structure, and decoding their embedded codes, if we may say so, in an engaging and scientific manner. Reasons for Choosing the Study Title: Artificial intelligence represents a true outcome of today’s digital revolution, which has permeated almost all fields of work. Today, no one interested in research, education, or technological advancement can ignore this revolution. AI offers limitless potential for enhancing scientific research, including historical studies. When combined with digital technology, AI tools contribute to a new approach in studying the humanities, particularly history, surpassing traditional expectations with innovative methodologies and new perspectives. Research Problem: Our study addresses the importance of technical tools in historical studies, such as deciphering cuneiform tablets, analyzing historical documents, understanding their structures, and identifying hidden codes. These tools are beneficial not only for professional researchers but also for amateurs and beginners, as they can be utilized at every stage of research, from planning to implementation. Study Scope: This study is focused on establishing the connection between historical studies and artificial intelligence, a question we aim to answer. We will highlight key scientific strategic projects in this field and what has been achieved in practice. Research Methodology: We employ a blend of descriptive, analytical, and inferential methods, examining various global scientific projects aimed at overcoming challenges faced by archaeologists and historians in decoding ancient symbols. We will explore the potential of AI tools in modernizing the extraction of historical texts. Previous Studies: Our research relies on a selection of scientific studies that have previously explored the relationship between history and the digital revolution. We also focus on a range of projects and scientific experiments to examine the possibility of building a new scientific approach based on implementing and presenting historical digital data in line with modern digital advancements. Among the most notable of these studies are and other studies that showed the importance of using artificial intelligence and the digital revolution in historical studies.
