As with other ML approaches, SimAI saves a percentage of simulation data to test the trained ML model for accuracy. In addition, it provides a confidence score for each what-if scenario explored.

Machine-learning platforms like Hugging Face are suspectible to the same kind of attacks that threat actors have executed successfully for years via npm, PyPI, and other open source repos.

The goal of this research is to detect machine learning model uncertainty and mitigate its effects on the quality of model inference.