Science

A new study evaluates how well artificial intelligence can identify potential medication errors in routine primary care settings within the National Health Service.

A new deep learning model leverages the power of spatiotemporal data and multi-modal analysis to improve the accuracy of pulmonary nodule malignancy prediction.

New research demonstrates that leveraging the power of artificial intelligence to interpret complex patient data is leading to more accurate forecasts of lung cancer treatment success.

A new framework intelligently predicts complex, multi-faceted demands in cloud backends, improving performance and resource utilization.

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.