The Enoch model, developed to improve the dating of ancient manuscripts, uses deep neural network techniques focused on similarity matching rather than traditional paleography. Testing showed Enoch's estimates of scroll ages were about 79% accurate, revealing that many Dead Sea Scrolls could be older than previously reported, thus potentially redefining the timeline of Jewish script styles like Hasmonean and Herodian. Additionally, Enoch may provide insights into biblical authorship by identifying ancient fragments, such as those of the Book of Daniel, that were previously unrecognized.
"Enoch emphasizes shared characteristics and similarity matching between trained and test manuscripts, where traditional paleography focuses on subtle differences that are assumed to be indicative for style development."
"About 79 percent of Enoch's estimates were deemed 'realistic,' while its age estimates for the remaining 21 percent were either too young, too old, or just indecisive."
"This new model revealed that many of the Dead Sea Scrolls are older than previous estimates based solely on paleography."
"Enoch may even be able to shed light on biblical authorship, for instance, the authors concluded that two of the scrolls are the first known fragments of the Book of Daniel."
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