Science

A new approach leverages artificial intelligence to generate realistic climate scenarios, helping insurers and risk managers prepare for drought-related ground subsidence.

Autonomous AI is dramatically lowering the barrier to entry for cyberattacks, demanding a fundamental shift in enterprise security strategies.

A new agentic framework is dramatically improving the accuracy of answering complex questions about financial documents by intelligently retrieving and reasoning over relevant information.

A novel hybrid approach combines the strengths of established financial modeling with the power of neural networks to deliver more accurate and stable implied volatility surfaces.

A new framework combines the power of deep learning with established actuarial principles to improve the accuracy and interpretability of longevity forecasts.

A new framework aims to proactively identify and mitigate risks across the rapidly evolving landscape of decentralized finance.

This review examines the growing use of artificial intelligence in stock price forecasting, with a focus on the unique challenges faced by professional investment firms.

New research reveals that environmental, social, and governance factors function more like crash insurance than consistent performance boosters.

A new framework uses machine learning to model the evolving probabilities that govern financial time series, offering insights into changing market regimes.

New research shows that understanding the nuanced opinions behind investor posts, not just positive or negative sentiment, is key to more accurate financial forecasting.