The article confuses training, inference and running the game environment. Best guess is the NDP2000 chip does just inference based on the serialised visual dat

The article confuses training, inference and running the game environment. Best guess is the NDP2000 chip does just inference based on the serialised visual data it receives from another machine running Doom. I seriously doubt it would be efficient to train the model on that chip either. Don't get me wrong: Inferencing a 600k parameter model at 1mW is more efficient than probably anything else out there, so it's impressive and great for IoT and edge inference use-cases. Edit: Seems I was wrong about training, it does do it, more details: https://youtu.be/QammxdPqP4g?t=08m57s https://youtu.be/QammxdPqP4g?t=08m57s Good for active learning or fine-tuning at the edge, but it is to slow for model development in practice.