Modeling counterparty risk is computationally challenging because it requires the simultaneous evaluation of all trades between each counterparty under both market and credit risk. We present a ...

Despite growing interest in the use of complex models, such as machine learning (ML) models, for credit underwriting, ML models are difficult to interpret, and it is possible for them to learn ...

A new analysis of the Hubble constant to show that the Gaussian Processes data reconstruction technique may not actually be independent of all cosmological models -- and that it may be time to ...

At Hannover Messe 2026, 3D models merged with the real world and Gaussian Splats. We tried out various solutions.