Science

New research explores how artificial intelligence can uncover the hidden dynamics of group learning and provide educators with actionable insights.

A novel framework combines behavioral analysis, simulated environments, and trust modeling to proactively identify malicious insiders with improved accuracy.

Researchers have discovered a novel attack vector where pre-trained AI models are exploited to conceal malicious code, raising serious concerns about the security of the AI supply chain.

New research details how combining the power of large language models with knowledge graphs can dramatically improve decision-making and accelerate enterprise-level digital transformation initiatives.

Researchers are exploring how artificial intelligence can better understand and identify harmful behaviors within niche online subcultures, offering a path toward more effective intervention.

A novel approach to evaluating risk models overcomes limitations with heavy-tailed asset returns, providing more reliable backtesting results.

A new approach combines open-source models to deliver enhanced performance in both Thai language understanding and financial domain expertise.

A new framework systematically exposes domain-specific risks in large language models by crafting subtly harmful prompts.

A new framework tackles the challenge of forecasting long-term trends in massive, interconnected networks.

A new machine learning framework enhances the accuracy and reliability of U.S. Treasury yield curve forecasts, even amidst economic turbulence.