Science

New research reveals that assessing the safety of large language model advice requires understanding the individual user and their unique vulnerabilities.

Researchers have developed a novel framework that uses textual data to dynamically refine time series models, significantly improving forecasting accuracy.

Researchers demonstrate a new framework for performing probabilistic reasoning with biologically inspired spiking neural networks.

New research reveals how strategically designed assessments, built around interconnected problems, can effectively evaluate genuine understanding and resist being solved by generative AI.

A novel methodology combining machine learning with expert insights is offering more accurate forecasts of illegal border crossings into Europe.

A new agent-based AI system streamlines the complex process of epidemic response planning, offering a proactive approach to public health crises.

New research reveals a stark disconnect between the AI safety and AI ethics communities, hindering progress toward responsible artificial intelligence.

A new strategy focuses on the interplay between local and global connections in financial networks to identify opportunities and mitigate risk during turbulent times.

A new approach combines physics-based modeling with deep learning to rapidly assess frequency response and prevent widespread blackouts.

A new framework leverages graph neural networks to adaptively identify malicious activity within cloud-based Identity and Access Management systems.