Science

New research details a framework for optimizing the structure and communication of AI agent groups to withstand failures and maximize performance.

New research details a framework for predicting short-term electricity price fluctuations, enabling strategic trading and significant revenue gains.

Researchers have developed a framework that combines performance data with natural language understanding to pinpoint the origins of cloud outages with greater accuracy.

Researchers have developed a novel framework to improve the reliability and trustworthiness of large language models by addressing both harmful outputs and the tendency to fabricate information.

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.