Simulated Reality (SR)

Simulated reality is responsible for producing synthetic data to aid the training and evaluation of AI algorithms. To cope with incomplete training datasets and data hungry AI algorithms the actual production process is emulated to generate both plausible in-distribution data as well as unknown out-of-distribution inputs to evaluate/enhance the robustness and flexibility of AI in real-life production environments.