Science

New research demonstrates how explainable AI is unlocking the ‘black box’ of wildfire prediction models to build greater trust in forecasts and improve disaster preparedness.

A new multi-agent system leverages large language models to forecast hazards and enhance safety protocols in complex operational settings.

A new approach to combining weather model predictions significantly boosts the accuracy of forecasting high-impact events, offering crucial improvements for disaster preparedness.

A new approach leverages artificial intelligence and localized data to create adaptable regional boundaries that better address specific disaster risks and enable more targeted interventions.

New research reveals that the impact of data quality on credit risk models isn’t always what you’d expect.

A new analysis reveals that surprisingly few manipulated data points can compromise the accuracy and reliability of artificial intelligence systems used in medical diagnosis and treatment.

A new multi-agent system leverages AI to reconstruct the moments leading up to a crash with unprecedented accuracy, promising to reshape traffic collision analysis.

A new machine learning approach leverages the interconnectedness of power grids to forecast how long outages will last after major storms.

A new framework efficiently optimizes smaller language models for financial tasks, rivaling the performance of much larger systems.

A new study investigates how well large language models track changing information across extended interactions.