Science

A new wave of computational techniques is empowering economists and financial analysts to tackle previously intractable problems in modeling and forecasting.

A new artificial intelligence model, trained on electrocardiograms, offers a powerful approach to forecasting adverse outcomes for patients following myocardial infarction.

A new approach uses graph neural networks to analyze transaction relationships and identify fraudulent activity with improved accuracy and resilience.

Detection research has largely chased a highly visible threat while overlooking the more widespread harms of manipulated media.

New research proposes an architecture for explainable AI in finance that tackles the challenges of fleeting insights and unreliable explanations.

New research reveals that large language models are susceptible to human biases in financial analysis, potentially compromising independent investment judgment.

A new framework leverages artificial intelligence to create a dynamic understanding of an organization’s security posture, moving beyond simple alerts to proactive risk management.

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.