Science

A new neural network approach leveraging spatial data and advanced statistical modeling enhances the accuracy of weekly earthquake probability forecasts.

A new approach leverages the geometric relationships within financial time series data to improve prediction accuracy.

A new framework combines the power of generative AI with statistical modeling to deliver more accurate and robust financial risk predictions.

A new simulation framework reveals that artificial intelligence agents often struggle to self-regulate within complex marketplaces, necessitating targeted training for stable and fair outcomes.

New research introduces a graph neural network that leverages the principles of chaos theory to generate more reliable prediction intervals for stock prices, moving beyond simple forecasts.

A new artificial intelligence system leverages the power of language models to autonomously generate accurate forecasts for multiple infectious diseases.

A new approach leveraging artificial intelligence reconstructs the complex web of relationships between companies in the semiconductor industry, offering a dynamic view of supply chains and geopolitical influence.

A new review explores the evolution of machine learning models used to forecast the dynamic movements of athletes, focusing on advancements in trajectory prediction.

A new framework combines the power of time series models and large language models to deliver more accurate and explainable predictions.

Securing increasingly autonomous AI systems demands a shift in thinking, and this paper proposes a powerful parallel to the decades of experience in operating system protection.