AI-driven studies of the ancient world and good GANs (Practical AI #52)

Chris and Daniel take the opportunity to catch up on some recent AI news. Among other things, they discuss the increasing impact of AI on studies of the ancient world and “good” uses of GANs. They also provide some more learning resources to help you level up your AI and machine learning game.

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Featuring:

• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

AI is impacting studies of the ancient world:

• Machine learning has been used to automatically translate long-lost languages:
• Machine learning is about to revolutionize the study of ancient games:
• Others studies:
  • Deep Learning for Classical Japanese Literature:
  • In Codice Ratio: Machine Transcription in the Vatican Secret Archive:
  • Reading Medieval Manuscripts with Deep Learning Technology:

The AI technique that could imbue machines with the ability to reason

A new way to use the AI behind deepfakes could improve cancer diagnosis:

AIs are playing more games:

• DeepMind AI is secretly lurking on the public StarCraft II 1v1 ladder
• An unbeatable poker bot offers glimpses of video game AI’s future

Relevant learning resources:

• NumPy implementations of a bunch of models (from scratch):
• Great new-ish NLP courses:
  • Advanced NLP with spacy:
  • New fast.ai course! A Code-First Introduction to NLP:
• Google Cloud - Deep Learning Containers

Books

• “The Pragmatic Programmer” by David Thomas and Andrew Hunt
• “Data Science from Scratch” by Joel Grus

Something missing or broken? PRs welcome!