Science

A new framework analyzes how AI agents navigate the web, moving beyond simple task success to understand the quality of their decision-making.

A new study demonstrates that artificial intelligence, initially trained on animal video data, can accurately predict epileptic seizures in humans using only standard video recordings.

A new system, FraudFox, dynamically adjusts to evolving fraud patterns and business needs, providing a more robust defense against online transaction fraud.

As AI-powered agents gain greater autonomy, understanding and mitigating their unique security risks is paramount.

New research reveals that a company’s position within the lending network is increasingly influencing credit access, potentially eclipsing traditional financial metrics.

A new framework uses artificial intelligence to automatically connect real-world cyber incidents to known attack patterns and security defenses, improving threat response and risk mitigation.

A new approach combines diffusion models and adaptive sensing to improve the long-term predictability of chaotic dynamics on complex geometries.

A new framework leverages the speed of artificial intelligence to deliver high-resolution risk assessments for critical infrastructure facing tropical cyclones.

A new approach leverages diagnostic transport maps to refine probabilistic forecasts and improve their reliability when predicting infrequent occurrences.

New research demonstrates how survival analysis can more accurately predict when loans will default, improving risk management under modern accounting standards.