World Engine generates realistic safety-critical driving variations from logs for reinforcement post-training, reducing benchmark failures more than data scaling and showing collision reductions plus on-road gains in a production system.
Prediction of driver alertness levels on mountain roads using machine learning models: A naturalistic driving study in china
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A tutorial that unifies explicit and implicit world models through shared predictive structure for applications in physical AI such as robotics.