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 ...

Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new paper, ...

Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...

The manufacturing industry faces persistent challenges, including a growing skills gap. As experienced workers retire, they take invaluable knowledge with them, potentially creating experience and ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

John Clemons is a Solution Consultant for Rockwell Automation. He's been working in the field of Manufacturing Technology for over 30 years. New artificial intelligence (AI) applications seem to be ...

Learn how to apply AI in real-world contexts. Explore Manufacturing Analytics, NLP Solutions and Machine Learning in Action. Develop the skills to design, test and deploy practical AI models. Purdue ...

If it’s customary to close out the year by sharing big-picture industry insights, then it made perfect sense for Machine Design to connect with industry leaders to learn about what’s coming next. One ...