Unlocking History: AI Decodes Ancient Ciphers

Artificial intelligence is revolutionizing the field of historical research by enabling scholars to decode ancient manuscripts and obscure texts that have remained unread for centuries due to complex ciphers. A notable case is the Borg cipher, a 408-page manuscript housed in the Vatican library, which contains coded medical remedies from the medieval era. Researchers led by Beáta Megyesi utilized machine learning techniques to break the cipher, uncovering an array of unusual treatments for ailments. This discovery exemplifies how AI can help unlock lost historical knowledge hidden within various coded documents.

Ciphers have been used throughout history to conceal sensitive information, including medical knowledge, diplomatic communication, and personal correspondences, which in some instances can significantly alter historical narratives. The complexity of decoding these texts is amplified by factors such as bad handwriting and the use of decoy symbols. Tools like the AI platform Transkribus have started to expedite the transcription process of encrypted letters, facilitating researchers’ efforts to analyze these historical documents.

Researchers are now looking to further enhance AI capabilities, aiming to bypass the time-consuming transcription phase by directly analyzing images of manuscripts for decoding. Recent advancements show promising results, such as successfully deciphering codes without prior knowledge of the underlying language. This innovative approach could provide valuable insights into poorly understood writing systems and potentially unlock numerous historical texts previously deemed impenetrable. By integrating decryption algorithms with extensive historical data, AI tools are set to play a crucial role in unraveling the secrets of the past and expanding our understanding of history.

SOURCE: BBC