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 ...

Artificial intelligence is no longer just a software story. It’s quickly becoming a physical-world force—powered by smarter sensors, more capable ...

In recent years, significant advancements in ML have influenced several fields beyond computer science, including autonomous driving, structural color design, medicine, and face recognition. The ...

Bottom line: Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production. Machine learning’s ...

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...

In this contributed article, Gregory Miller, a writer with DO Supply, explores the ways in which machine learning is being applied in the modern industrial world, focusing on manufacturing. To date, ...

Harnessing the power of machine learning, scientists have developed a material testing technique that improves the accuracy of a previous technique used in manufacturing. Nano-indentation is a process ...

EDWARDSBURG, Mich. (WSBT) — Edwardsburg High school Students are getting a unique classroom opportunity. Kids can be a part of an industrial arts class that teaches them manufacturing skills used in ...