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

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

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 ...

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

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

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92% accuracy spoken language outcomes at one-to-three years after cochlear implants (implanted ...

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

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

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 ...