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Head to https://cometeer.com/scishow3 to get $20 off your Cometeer order + free shipping - That’s over 30% in savings! It’s probably not a surprise that many ancient texts are a bit worn out and tattered, and that makes deciphering what they say quite a task. But with new computer tech and artificial intelligence, we are getting much clearer glimpses of what people of the past thought was important enough to write down. Hosted by: Hank Green SciShow is on TikTok! Check us out at https://www.tiktok.com/@scishow ---------- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ---------- Huge thanks go to the following Patreon supporters for helping us keep SciShow free for everyone forever: Bryan Cloer, Sam Lutfi, Kevin Bealer, Jacob, Christoph Schwanke, Jason A Saslow, Eric Jensen, Jeffrey Mckishen, Nazara, Ash, Matt Curls, Christopher R Boucher, Alex Hackman, Piya Shedden, Adam Brainard, charles george, Jeremy Mysliwiec, Dr. Melvin Sanicas, Chris Peters, Harrison Mills, Silas Emrys, Alisa Sherbow ---------- Looking for SciShow elsewhere on the internet? SciShow Tangents Podcast: https://scishow-tangents.simplecast.com/ Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Instagram: http://instagram.com/thescishow ---------- Sources: https://doi.org/10.1017/S0959774318000471 https://ieeexplore.ieee.org/document/7004460 https://www.cl.cam.ac.uk/teaching/0809/CompVision/ https://link.springer.com/article/10.1007/s10462-020-09827-4#Sec25 https://doi.org/10.1109/ICEngTechnol.2017.8308186 https://www.inf.ed.ac.uk/teaching/courses/nlu/assets/reading/Gurney_et_al.pdf https://www.nature.com/articles/s41583-021-00473-5 https://link.springer.com/chapter/10.1007/978-3-540-75171-7_2 https://link.springer.com/chapter/10.1007/978-3-642-30223-7_87 https://arxiv.org/pdf/1707.02968.pdf https://link.springer.com/article/10.1007/s10462-020-09827-4 https://www.science.org/doi/10.1126/sciadv.1601247 https://arxiv.org/pdf/1707.02968.pdf https://dl.acm.org/doi/pdf/10.1145/3457607 https://doi.org/10.1145/3290605.3300773 https://doi.org/10.1117/12.2010051 https://ieeexplore.ieee.org/document/6628705 https://link.springer.com/chapter/10.1007/978-981-33-6912-2_6 https://link.springer.com/article/10.1007/s11042-021-10775-6 https://link.springer.com/article/10.1007/s42452-019-1340-4 https://doi.org/10.1109/ICTC.2017.8191045 https://www.sciencedirect.com/science/article/pii/S1877050920316033 https://dl.acm.org/doi/abs/10.1145/3460961 https://link.springer.com/chapter/10.1007/978-3-030-68787-8_21 https://aclanthology.org/D19-1668/ https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0249769 https://www.youtube.com/watch?v=aircAruvnKk&vl=en https://www.youtube.com/watch?v=IHZwWFHWa-w Image Sources: https://commons.wikimedia.org/wiki/File:Edwin_Smith_Papyrus_v2.jpg https://commons.wikimedia.org/wiki/File:Ancient_greek_text.jpg https://commons.wikimedia.org/wiki/File:Mawangdui_Ancient_Texts_on_Silk_or_Wood_(10113031274).jpg https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0249769 https://pixabay.com/vectors/neural-network-thought-mind-mental-3816319/ https://commons.wikimedia.org/wiki/File:Deep_Learning.jpg https://www.istockphoto.com/photo/data-scientists-male-programmer-using-laptop-analyzing-and-developing-in-various-gm1295900106-389481184 https://commons.wikimedia.org/wiki/File:Supervised_machine_learning_in_a_nutshell.svg https://commons.wikimedia.org/wiki/File:Bactrian_document_Northern_Afghanistan_4th_century.jpg https://commons.wikimedia.org/wiki/File:Codex_Vercellensis_-_Old_Latin_gospel_(John_ch._16,_v._23-30)_(The_S.S._Teacher%27s_Edition-The_Holy_Bible_-_Plate_XXXII).jpg https://picryl.com/media/fragments-from-a-book-of-the-dead-892f17 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0249769

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