With volatility so closely tied to investment risk and returns, it's no wonder that a statistical method that captured time-varying volatility was deemed worthy of a Nobel Prize. Since its creation, ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...