Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

This study examines the co-movement dynamics of inflation rates among Southern African Development Community (SADC) member ...

The IMD AI Safety Clock is a tool designed to evaluate the risks of Uncontrolled Artificial General Intelligence (UAGI) – autonomous AI systems that operate without human oversight and could ...

Cambodia is not alone in facing capacity limitations in the production and timely release of key official statistics needed for data-driven policy decisions. This paper demonstrates that combining ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Researchers at Mass General Brigham and Karolinska Institutet have identified a new method to predict asthma exacerbations ...

Paché, G. (2026) Patrick Geddes on Sustainable City Life. Journal of Service Science and Management, 19, 13-28. doi: ...