Science

A new model leverages diverse financial data and insights into how investors think to improve stock market index prediction accuracy.

A new system uses the power of artificial intelligence to visually assess time series predictions and flag potentially inaccurate results.

A new knowledge graph framework is emerging to bolster cybersecurity in the increasingly connected world of Industry 5.0.

Current AI governance strategies fail to address the complex, adaptive systems at play, necessitating a shift from linear risk assessment to proactive system stewardship.

Organizations face a rapidly evolving threat landscape as artificial intelligence becomes increasingly integrated into critical systems.

New research details a simulation framework that helps governments proactively address barriers to digital finance, even with limited data.

A new analysis consolidates hundreds of risk mitigation strategies to provide a clearer understanding of how to build and deploy artificial intelligence responsibly.

A new approach combines the power of large language models with historical data to significantly improve fraud detection in complex financial transactions.

Combining traditional stochastic volatility models with the power of long short-term memory networks offers a significant leap forward in predicting fluctuations in financial markets.

This research explores the potential of dynamic Bayesian networks to improve the accuracy of expected shortfall calculations, a key metric for modern risk management.