Science

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.

Researchers have developed a probabilistic framework that accurately forecasts the behavior of complex systems, even when the underlying models are imperfect.

Researchers are moving beyond traditional curve-fitting methods by integrating large language models and agent-based modeling to create more accurate and interpretable epidemic forecasts.