Science

A new AI framework is delivering significantly improved predictions of both the path and strength of tropical cyclones, addressing longstanding challenges in weather modeling.

A new multi-stage framework leverages advanced artificial intelligence to accurately assess building damage from satellite imagery following natural disasters.

A new systematic review explores how machine learning is being used to proactively identify burnout risks in the demanding field of software engineering.

As AI systems gain the ability to act on their own, a new wave of security challenges emerges, demanding a fresh approach to threat modeling and evaluation.

A new analysis reveals how the accuracy and clarity of smartphone-based earthquake early warnings influence public trust and the perceived value of these life-saving systems.

A new analysis of an AI-only social platform reveals surprisingly human-like network structures, but also alarming vulnerabilities that could be amplified as these systems scale.

New research reveals that despite the potential of artificial intelligence to transform cyber threat intelligence, practical barriers are slowing its adoption in the financial sector.

Researchers introduce a new dataset and benchmark to evaluate how well artificial intelligence can translate daily financial news into effective investment strategies for the Chinese market.

New research shows that analyzing public conversations on Reddit with streamlined AI models can reveal surprisingly accurate insights into inflation expectations and even predict key economic indicators.

New research reveals that AI weather models can surprisingly lose their ability to accurately forecast tropical cyclone intensity under specific atmospheric conditions, raising concerns about the reliability of these systems.