Science

A new approach enables dynamic, real-time prediction of critical events from continuous sensor streams, offering improved accuracy and scalability.

A new study reveals how the Truth Social platform amplified unverified claims during the 2024 election, contributing to a volatile information environment.

A new framework reveals how interconnectedness and spatial dynamics amplify the impact of technology in financial systems, offering insights into overcoming adoption barriers.

This review synthesizes the latest research on social engineering attacks, focusing on the psychological vulnerabilities exploited by attackers and the strategies for building more resilient human defenses.

Machine learning models aren’t passive observers – they’re increasingly active participants in the world they predict, creating feedback loops that reshape reality.

This review explores how advances in generative AI are poised to overcome critical hurdles in deploying artificial intelligence for positive social impact.

Researchers have developed a deep learning model that leverages the power of graph neural networks and transformers to more accurately forecast how stocks move in relation to each other.

A new framework systematically evaluates how changes in underlying data relationships impact the reliability of fairness interventions in machine learning systems.

Researchers are using the power of artificial intelligence to simulate how individuals adopt preventative behaviors during an epidemic.

New research demonstrates how artificial intelligence can automate the critical process of identifying security policy weaknesses after a cyberattack.