Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...

Through the integration of AI and elite data science, USAISEC will ensure the joint force remains ahead of transnational ...

Most legal technology shifts do not announce themselves with trumpets. They slip into ordinary practice first. Email was once ...

Abstract: Accurate model selection is essential in predictive modelling across various domains, significantly impacting decision-making and resource allocation. Despite extensive research, the model ...

The global community has faced substantial threats from infectious diseases in recent decades. As a crucial element of epidemic surveillance systems, infectious disease prediction technology plays an ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...