Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Researchers at University of Tsukuba have developed a technology for real-time estimation of the valence state and growth rate of iron oxide thin films during their formation. This novel technology ...

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 ...

Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools struggle to distinguish subtle variations in the structure or composition among ...

A team of researchers that includes Worcester Polytechnic Institute (WPI) computer scientist Kyumin Lee has developed a DNA ...

Sensormatic Solutions, the global retail solutions portfolio of Johnson Controls (JCI), continues to improve the capabilities of its cloud-based loss prevention (LP) application, Shrink Analyzer. The ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Historically, people have used stopwatches, cameras or trained eyes to assess walking and its deficits. However, recent technological advances such as motion capture, wearable sensors and data science ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...