Science

New research reveals how the structure of production networks diffuses and averages economic disturbances, leading to less overall volatility than previously understood.

New research introduces a method for measuring the stability of AI explanations, providing a critical step towards building trustworthy business intelligence systems.

As artificial intelligence rapidly advances, a novel economic mechanism-a tax on AI model usage-is being proposed to address potential job displacement and growing wealth inequality.

A new approach combines graph neural networks with large language models to forecast congestion in major ports and provide clear, understandable explanations for potential disruptions.

As artificial intelligence systems become increasingly integrated into critical infrastructure, traditional cybersecurity approaches are proving inadequate, demanding a fundamental shift in how we detect and respond to emerging threats.

A new deep learning model leverages weather and traffic data to dramatically improve the accuracy of predicting where and when weather-related crashes will occur.

A guided approach using large language models promises to streamline risk assessment, but human oversight remains crucial for reliable results.

Researchers are leveraging deep neural networks to anticipate critical transitions in complex systems, offering a powerful new method for identifying points of instability.

A new deep learning model accurately predicts the evolution of supernova light curves, offering a crucial tool for real-time analysis of upcoming large-scale astronomical surveys.

A new reinforcement learning agent anticipates episodes of freezing of gait, offering a path towards more effective therapeutic interventions.