Science

This review explores how graph neural networks are revolutionizing our ability to understand and predict traffic patterns in increasingly connected vehicular ecosystems.

Large language models are fundamentally reshaping how companies strategize, research, and adapt in a rapidly evolving market.

New research demonstrates a more effective neural network technique for generating realistic, privacy-preserving tabular datasets, addressing limitations of existing methods.

New research reveals that artificial intelligence can be used to coordinate manipulation within platforms designed to equitably divide resources, potentially undermining their intended benefits.

A new approach combines deep learning and reinforcement learning to proactively identify unusual patterns in multivariate time series data with improved precision.

A new analysis reveals the rapidly evolving landscape of artificial intelligence applications in both hiding and detecting concealed data.

New research reveals that the optimal way for teams of artificial intelligence agents to trade financial instruments hinges on how turbulent the market becomes.

A new approach leverages earnings data and portfolio optimization to potentially deliver returns exceeding the S&P 500.

New research reveals that subtle language in company disclosures can predict stock market reactions, offering a deeper understanding of investor behavior.

Researchers have developed a new system using artificial intelligence to model complex data marketplaces and predict market behavior.