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 ...

A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...

Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...

Artificial intelligence is reshaping modern medicine at an unprecedented pace. Predictive models now rival or exceed traditional clinical tools in accuracy, ...

Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales.

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 ...

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

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 ...

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 ...