Risk

Machine learning and AI in model risk management: a quant perspective

Statistical risk models face issues of validity as unprecedented events and social phenomena occur. However, artificial intelligence (AI) and machine learning can assist models in maximising accuracy.
Risk

Model risk management is evolving: regulation, volatility, machine learning and AI

The sudden and severe economic shocks from the pandemic created model risk challenges, because of the magnitude of behavioural and market changes, and the pace at which these changes occurred.
The University of Manchester

New research brings machine‑learning‑based physics a step closer to solving real engineering challenges.

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden ...
The University of Manchester

Scientists develop ultra‑robust machine‑learning models capable of stable molecular simulations at extreme temperatures

This research was published in Communications Chemistry.Unprecedented robustness of physics informed atomic energy models at ...
The American Journal of Managed Care

Machine Learning Model Improves Prediction of Heart Failure Risk in CKD

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
EurekAlert!

Bridging machine learning and COSMO-SAC for accurate prediction of infinite dilute activity coefficients of binary mixtures

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
EurekAlert!

Mount Sinai researchers develop machine learning model to predict how CPAP affects cardiovascular disease risk in patients with obstructive sleep apnea

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...