More than 20 faculty members and several students from across academic disciplines attended a two-day training workshop on June 4–5 to learn how AI machine-learning skills can assist with their ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

For predicting relapse in 1,387 patients with early-stage (I-II) NSCLC from the Spanish Lung Cancer Group data (average age 65.7 years, female 24.8%, male 75.2%), we train tabular and graph machine ...

Data scientists play a crucial role in helping people and organizations use data to make more informed decisions. Since they ...