Science

Researchers have developed a unifying mathematical framework to analyze and guarantee the stability of deep learning models, moving beyond empirical observation.

New research explores how well artificial intelligence can model the spread of emotions through online social networks.

A new approach leverages the power of artificial intelligence to dynamically manage network resources for demanding Industrial IoT applications.

A new AI framework intelligently manages household finances and dietary needs, adapting to price fluctuations and personal preferences to maximize both savings and nutritional intake.

A new study systematically probes the software security understanding of leading artificial intelligence models, revealing strengths in memorization but critical gaps in applying that knowledge.

Researchers have developed an automated red-teaming framework to proactively identify vulnerabilities in large language models, moving beyond manual security assessments.

A new analysis reveals that demographic factors and information fatigue, not the source of news, were the biggest obstacles to accurate voter perceptions during a turbulent election cycle.

A new formal verification framework demonstrates that strategically placed early exits can dramatically improve the efficiency of neural network analysis without compromising their robustness.

A new framework harnesses the capabilities of large language models to accurately forecast the dynamic behavior of power systems, enhancing grid reliability and resilience.

Researchers are leveraging the power of neural networks and symbolic regression to not only predict communication delays but also to distill those predictions into human-readable formulas.