Artificial intelligence and machine learning are rapidly transforming scientific research, with researchers across multiple areas of physics leading the development and application of these tools. To ...

IOP Publishing (IOPP) is launching the world's first series of open access journals dedicated to the application and development of machine learning (ML) and artificial intelligence (AI) for the ...

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 ...

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...

An international research team has released a detailed analysis of how machine learning approaches are improving the estimation and control of quantum systems. Their findings were published in the ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Within the STRUCTURES Cluster of Excellence, two research teams at the Interdisciplinary Center for Scientific Computing (IWR) have refined a computing process, long held to be unreliable, such that ...

Gynecological malignancies, including ovarian, endometrial (uterine), and cervical cancers, represent a substantial global health burden. Cervical cancer ...

IOP Publishing (IOPP) is launching the world’s first series of open access journals dedicated to the application and development of machine learning (ML) and artificial intelligence (AI) for the ...