Science

A new benchmark tests large language models’ ability to perform complex financial tasks using real-world data and online tools.

New research reveals how analyzing correlation structures in Nordic stock markets can identify changing regimes and improve portfolio performance.

New research leverages environmental data and machine learning to forecast high-risk bushfire zones across the Australian landscape.

This review examines how large artificial intelligence models are poised to reshape wireless communication networks, promising significant advancements in performance and adaptability.

A new approach leverages principles from physics to improve the accuracy of cross-covariance forecasting in volatile financial markets.

New research reveals that grounding large language models in structured knowledge graphs dramatically improves their ability to tackle complex numerical problems within financial documents.

A new benchmark assesses how well large language models perform in real-time stock prediction and investment strategy generation.

New research demonstrates how neural networks can efficiently and accurately estimate the size of hidden or partially observed populations, overcoming limitations of traditional statistical methods.

A new diagnostic ratio assesses how geopolitical and institutional factors impact the reliability of adaptive market strategies.

A new agentic AI system, NAIAD, is poised to transform how we understand and manage the health of our lakes, rivers, and streams.