Science

A new study challenges the reliability of explanations generated by large language models when applied to sensitive financial data.

New research reveals that shifts in stablecoin transaction patterns can foreshadow financial market stress triggered by political uncertainty, offering a unique early warning system.

As artificial intelligence evolves into increasingly autonomous and interconnected systems, ensuring the safety and reliability of these agent networks is becoming paramount.

A new framework uses artificial intelligence to move beyond predicting corporate bankruptcy toward understanding the underlying causes.

A new graph-based forecasting framework leverages network structures and trend similarities to predict the spread of diseases, beliefs, and behaviors with improved accuracy and insight.

Researchers explore a new method of using large language models to poll ‘AI agents’ and understand community sentiment surrounding proposed data center projects.

A new machine learning system leverages satellite imagery to identify and verify methane emissions, offering a crucial tool for climate action.

A new framework integrates performance, efficiency, and cost across the entire AI stack, offering a pathway to truly optimized and sustainable systems.

New research leverages the power of clinical notes and advanced AI to forecast Type 2 Diabetes risk with unprecedented accuracy and fairness.

New research offers a practical framework for quantifying the return on investment for artificial intelligence projects, accounting for often-overlooked risks and costs.