New method using neural networks revolutionizes robust risk aggregation process.
The article discusses a method to combine different risks and measure their joint impact on a system, even when the exact relationships between the risks are uncertain. The researchers developed a way to find upper and lower bounds for these combined risks using neural networks. They showed that their method works well and can be applied to real-world situations.