Science

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.

Researchers have developed a new framework, DynaSTy, for accurately forecasting node attributes in dynamic graphs by leveraging both spatial relationships and temporal evolution.

Despite impressive AI benchmarks, new research reveals that robots powered by large language models struggle with basic spatial reasoning, creating potentially hazardous scenarios in real-world applications.