An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

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.

Adam Optimizer Explained in Detail. Adam Optimizer is a technique that reduces the time taken to train a model in Deep ...

A groundbreaking international study published in JAMA Otolaryngology-Head & Neck Surgery has demonstrated that Artificial ...

The video presentation below, “Deep Learning – Theory and Applications” is from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya ...

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

A new model predicts, minute by minute, how individual cells will fold, divide, and rearrange during a fruit fly’s earliest stage of growth. The method may help scientists predict the development of ...

At the San Antonio Breast Cancer Symposium, researchers presented findings on Clarity BCR, a multimodal multitask ...