A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users. Machine learning, and especially deep learning, have turned out ...

Scholars analyze how the use of machine learning could reshape EPA drinking water standards.

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...