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

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

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

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

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 ...

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 ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...

Manual audits machine learning improves drug diversion prevention by reducing errors, saving staff time, and enhancing patient safety in hospitals.

Two-dimensional (2D) materials and nanomaterials have emerged as transformative candidates for next-generation photovoltaic (PV) and solar energy conversion ...

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