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08 - The AI That Spoke Ancient Languages

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Manage episode 506969943 series 3683328
Content provided by Steve Atwal. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Steve Atwal or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Can AI decode ancient scripts and resurrect lost languages? From Ugaritic tablets to Cherokee apps, this episode dives into how machine learning is rewriting history, transforming archaeology, and reviving culture.

Keywords: AI, ancient languages, machine learning, archaeology, Dead Sea Scrolls, Cherokee, MIT CSAIL, cultural preservation, neural networks, history tech

References:

1. MIT CSAIL AI for ancient languages (Ugaritic/Linear B): https://news.mit.edu/2020/translating-lost-languages-using-machine-learning-1021

2. MIT neural decipherment paper (2019 arXiv): https://arxiv.org/abs/1906.06718 (from related searches; supports 67.6%/71.3% accuracy)

3. AI handwriting analysis for Dead Sea Scrolls (Enoch model, PLOS ONE 2025): https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0323185

4. ChrEn model for Cherokee-English translation (endangered language): https://arxiv.org/abs/2010.04791

5. AI efforts on Indus Valley scripts (digitizing seals): https://www.thehindu.com/society/history-and-culture/ai-can-help-decipher-scripts-of-the-indus-valley-civilisation-says-omar-khan/article69065350.ece

6. MaxEnt model for archaeological sites in Algeria (AUC ~0.86): https://onlinelibrary.wiley.com/doi/10.1002/arp.1923

7. VGG16 for ancient settlements in China via satellite (near Conghua region): https://www.mdpi.com/2072-4292/15/12/3193 (adapted; supports high accuracy in similar studies)

8. Computational Linguistics 2023 on AI for historical reconstruction: https://aclanthology.org/2023.acl-short.3/ (supports incomplete scenarios)

9. AI ethics in cultural preservation (Nature-related): https://www.researchgate.net/publication/384128175_Ethics_of_Artificial_Intelligence_for_Cultural_Heritage_Opportunities_and_Challenges

10. AI deepfakes and artifact authenticity (Nieman Lab): https://www.niemanlab.org/2019/11/what-should-newsrooms-do-about-deepfakes-these-three-things-for-starters/

Music Credits:

1. "Dark Times" Kevin MacLeod (incompetech.com)

Licensed under Creative Commons: By Attribution 4.0 License

http://creativecommons.org/licenses/by/4.0/

2. "Lightless Dawn" Kevin MacLeod (incompetech.com)

Licensed under Creative Commons: By Attribution 3.0 License

http://creativecommons.org/licenses/by/3.0/

3. "Tech Live" Kevin MacLeod (incompetech.com)

Licensed under Creative Commons: By Attribution 3.0 License

http://creativecommons.org/licenses/by/3.0/

This podcast is narrated by the host's own voice, powered by AI.

  continue reading

14 episodes

Artwork
iconShare
 
Manage episode 506969943 series 3683328
Content provided by Steve Atwal. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Steve Atwal or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Can AI decode ancient scripts and resurrect lost languages? From Ugaritic tablets to Cherokee apps, this episode dives into how machine learning is rewriting history, transforming archaeology, and reviving culture.

Keywords: AI, ancient languages, machine learning, archaeology, Dead Sea Scrolls, Cherokee, MIT CSAIL, cultural preservation, neural networks, history tech

References:

1. MIT CSAIL AI for ancient languages (Ugaritic/Linear B): https://news.mit.edu/2020/translating-lost-languages-using-machine-learning-1021

2. MIT neural decipherment paper (2019 arXiv): https://arxiv.org/abs/1906.06718 (from related searches; supports 67.6%/71.3% accuracy)

3. AI handwriting analysis for Dead Sea Scrolls (Enoch model, PLOS ONE 2025): https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0323185

4. ChrEn model for Cherokee-English translation (endangered language): https://arxiv.org/abs/2010.04791

5. AI efforts on Indus Valley scripts (digitizing seals): https://www.thehindu.com/society/history-and-culture/ai-can-help-decipher-scripts-of-the-indus-valley-civilisation-says-omar-khan/article69065350.ece

6. MaxEnt model for archaeological sites in Algeria (AUC ~0.86): https://onlinelibrary.wiley.com/doi/10.1002/arp.1923

7. VGG16 for ancient settlements in China via satellite (near Conghua region): https://www.mdpi.com/2072-4292/15/12/3193 (adapted; supports high accuracy in similar studies)

8. Computational Linguistics 2023 on AI for historical reconstruction: https://aclanthology.org/2023.acl-short.3/ (supports incomplete scenarios)

9. AI ethics in cultural preservation (Nature-related): https://www.researchgate.net/publication/384128175_Ethics_of_Artificial_Intelligence_for_Cultural_Heritage_Opportunities_and_Challenges

10. AI deepfakes and artifact authenticity (Nieman Lab): https://www.niemanlab.org/2019/11/what-should-newsrooms-do-about-deepfakes-these-three-things-for-starters/

Music Credits:

1. "Dark Times" Kevin MacLeod (incompetech.com)

Licensed under Creative Commons: By Attribution 4.0 License

http://creativecommons.org/licenses/by/4.0/

2. "Lightless Dawn" Kevin MacLeod (incompetech.com)

Licensed under Creative Commons: By Attribution 3.0 License

http://creativecommons.org/licenses/by/3.0/

3. "Tech Live" Kevin MacLeod (incompetech.com)

Licensed under Creative Commons: By Attribution 3.0 License

http://creativecommons.org/licenses/by/3.0/

This podcast is narrated by the host's own voice, powered by AI.

  continue reading

14 episodes

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