Science

A new framework evaluates how easily large language models can be used to influence and deceive, revealing critical variations in their manipulative capabilities.

A new multi-agent system aims to transform fragmented 9-1-1 data into a unified and evolving picture of emergency incidents.

A new approach to evaluating data-driven fire danger models leverages complete spatial data to enhance forecast accuracy and reduce false alarms.

As powerful AI models become increasingly integrated into critical systems, a comprehensive understanding of their vulnerabilities is paramount.

New research details a framework for understanding how emotions expressed in cryptocurrency-related tweets can predict market movements.

New research explores how unexpected surges in deaths from specific causes ripple through populations and financial systems for years to come.

Researchers are leveraging the power of artificial intelligence to automate and improve the proactive detection of hidden security threats within modern Security Operation Centers.

New machine learning methods are providing astronomers with powerful tools to identify and characterize active galaxies and estimate the masses of their central supermassive black holes.

New research reveals a surprising phenomenon where deep regression networks, when properly trained, exhibit a predictable internal structure that enhances their ability to generalize.

This review explores how artificial intelligence is enabling networks to self-configure and proactively resolve issues based on high-level business intent, rather than complex manual configurations.