A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

A glacier’s surface crevasses, seen here, form in response to faster flow and higher stresses. New research found that a key ...

Daily travel plans and early warnings for extreme weather all rely on traditional numerical weather prediction. However, both ...

Reliability and Risk in AI-Assisted Medication Decision Systems,” the study examines how AI systems perform under failure conditions and what types of errors emerge in medication-related ...

Researchers have developed a powerful new artificial intelligence model that can accurately predict biochar yield and composition, helping scientists and industry optimize production while reducing ...

Electrochemical deposition, or electroplating, is a common industrial technique that coats materials to improve corrosion ...

ABSTRACT: This study investigates the impact of work-life balance (WLB) on organizational commitment (OC) among employees of the Ministry of Human Resources and Social Development (MHRSD) in Saudi ...

A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...

Scientists develop spatiotemporal correlation-based deep learning framework for bias correction of atmospheric and oceanic variables ...

Senior author Marco Iacoboni does not mince words about the stakes. “Without internal costs or constraints, an AI system has ...

What is the best strategy to get the best rate of change in the PID for a manipulated variable, or is there a more elegant ...