Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Individual-level data have become increasingly accessible in the Internet era, and the growing availability of user-specific data, such as demographics, geographic, medical records, and ...

In this special guest feature, Rob Patterson of ColdLight examines the benefits of leveraging machine learning to enhance the story that businesses are able to tell with their data. He expands on the ...