Science

New research demonstrates how combining market sentiment analysis with advanced time series modeling can improve forecasting accuracy for the volatile semiconductor industry.

New deep learning techniques are dramatically improving our ability to identify and classify these powerful, but fleeting, astronomical events.

New research reveals that attempts to remove identifying information from financial text data, while intended to prevent bias, ironically diminish the reliability of insights extracted by advanced language models.

Researchers are applying rigorous mathematical analysis to understand and reduce the tendency of large language models to generate factually incorrect or nonsensical content.

A new approach to reservoir computing leverages random Fourier features to more accurately forecast systems with interacting fast and slow processes.

A new AI agent analyzes real-time job postings to provide data-driven insights into Vietnam’s rapidly evolving IT job market.

A new framework, PRISM, leverages the power of carefully crafted prompts and in-context learning to significantly improve how we access and analyze financial information.

As artificial intelligence evolves beyond simple automation, agentic systems are poised to reshape how we design, operate, and maintain the electrical grid.

Researchers have developed a new deep learning model to forecast post-discharge foot complications for diabetic patients, prioritizing both accuracy and the ability to understand why predictions are made.

Researchers have developed a novel system that uses advanced artificial intelligence to navigate the complexities of financial trading and optimize investment strategies.