Content Generation using Machine Learning in Game Development – John Wordsworth, Paradox

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Machine learning is set to disrupt how game developers build worlds and the content that populates them to provide unique experiences for their players. We explore 3 direct applications for machine learning for content generation in game development and present some of the opportunities and challenges ahead for their adoption.

Key Takeaways

  • Applications of ML for generating visual artwork in game development.
  • Applications of ML for speech synthesis and ‘patching pre-recorded audio’ in game development.
  • TBC (The third topic would either be applications in generating stories/narrative content, Automated Testing or predicting bugs in C++ code).
  • What’s required to reach production ready tools – what challenges still lie ahead for us/other game studios looking to use ML in content generation in production?

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