About this episode
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. Join the discussion Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Sponsors: DigitalOcean – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at do.co/changelog . DataEngPodcast – A podcast about data engineering and modern data infrastructure. Brain Science – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com . 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!