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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