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 ...

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, ...

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- 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 ...

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...

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 ...

Manufacturing leaders can’t navigate today’s technological landscape without encountering artificial intelligence at every turn. From medical devices to aerospace systems, AI features are being ...

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 ...

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...