Science

A new physics-informed machine learning approach accurately predicted the evolution of a slow slip event off the coast of Japan, offering a promising tool for understanding and potentially forecasting these subtle but significant seismic phenomena.

A new analysis reveals how shifting economic anxieties-from inflation to trade policy-have influenced U.S. presidential election polls in recent cycles.

Researchers have developed a novel machine learning method for identifying sepsis earlier and with greater clarity by leveraging the power of relational data.

A new framework intelligently routes information across different data streams to dramatically improve the accuracy of forecasting complex time-dependent events.

New research introduces a computational tool that analyzes online conversations surrounding movements like #MeToo and #BlackLivesMatter, offering a deeper understanding of how public discourse evolves across different platforms.

A new approach harnesses the power of artificial intelligence to predict complex fluid dynamics with unprecedented accuracy and efficiency.

A new approach integrates spectral decomposition into diffusion models to improve the accuracy of long-term time-series predictions.

Successfully deploying artificial intelligence requires more than just optimizing benefits and risks-it demands a new approach to managing inherent tensions.

A new interpretability framework sheds light on the ‘black box’ of machine learning models used to analyze distant worlds.

New research leverages artificial intelligence and social media data to pinpoint the geographic connections between climate vulnerability and well-being across the United States.