Science

New research reveals that activity within the stablecoin market consistently foreshadows shifts in cryptocurrency volatility, confirming their role as a reservoir of potential investment.

A new study demonstrates how to reliably predict wildfire spread and minimize evacuation zones using a rigorous approach to uncertainty quantification.

As AI increasingly guides responses to natural disasters, understanding why a model made a certain prediction is just as crucial as the prediction itself.

A new framework leverages concepts from horizon physics and renormalization group theory to analyze the complex dynamics of electroencephalography signals.

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.