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

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

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

The study carries broader implications for sustainable finance. ESG investing depends on credibility. Investors need ...

Nguyen Huu Thien built on his passion for mathematics to become an associate professor of computer science in the U.S. and ...

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 ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

Artificial Intelligence (AI) and machine-learning experts are warning against the risk of data-poisoning attacks that can work against the large-scale datasets commonly used to train the deep-learning ...

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

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 ...