Trial
Why?
- Simulations produce large synthetic datasets for training perception, control, and physics-informed models.
- Dense compute enables running high-fidelity simulations in parallel to accelerate model iteration.
What?
- Integrate simulation workloads (e.g., physics engines, finite element frameworks) into the training pipeline.
- Benchmark simulation-to-data costs and reproducibility; support GPU-accelerated simulators where possible.
- Use simulations for data augmentation and safety-critical scenario generation.