Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Centers for Disease Control and Prevention researchers report national estimates of 43.6 million COVID-19-associated ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

The ROAR trial tested the hypothesis that returning familial hypercholesterolemia-associated genetic results leads to ...

Road networks are critical public assets that must be monitored, modeled, and maintained with rigor and efficiency. As agencies face heavier traffic, ...

A new study published in the Journal of the American Medical Association found that exposure to fine particulate air ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...

Discover four key identity and access priorities for the new year to strengthen your organization's identity security ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

Researchers at TU Wien are developing a model that interprets opinions not as diametrically opposed poles, but as overlapping ...

Chatbots put through psychotherapy report trauma and abuse. Authors say models are doing more than role play, but researchers ...