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

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

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

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

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 ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

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