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

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

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

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

Crystal ball: In its first hurricane season, Google's Deepmind AI framework not only matched decades of human expertise but surpassed the output of two of the world's most advanced supercomputer ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...