Science

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.

A new approach enables dynamic, real-time prediction of critical events from continuous sensor streams, offering improved accuracy and scalability.

A new study reveals how the Truth Social platform amplified unverified claims during the 2024 election, contributing to a volatile information environment.

A new framework reveals how interconnectedness and spatial dynamics amplify the impact of technology in financial systems, offering insights into overcoming adoption barriers.

This review synthesizes the latest research on social engineering attacks, focusing on the psychological vulnerabilities exploited by attackers and the strategies for building more resilient human defenses.

Machine learning models aren’t passive observers – they’re increasingly active participants in the world they predict, creating feedback loops that reshape reality.

This review explores how advances in generative AI are poised to overcome critical hurdles in deploying artificial intelligence for positive social impact.