Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Human tissue is intricate, complex and, of course, three dimensional. But the thin slices of tissue that pathologists most often use to diagnose disease are two dimensional, offering only a limited ...

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...