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 could eventually enable manufacturing plants to react quickly to changing instructions, rather than relying on standardization. [4] It also has implications for worker safety, in that ...

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, ...

facturing) and CDIO at ITC Limited, said the event highlighted the use of AI—from machine learning to agent-tech—in unlocking ...

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 ...

Mastercam's Jesse Trinque helps us learn how computer-aided manufacturing (CAM) software boosts operational efficiency and contributes to environmental sustainability. Computer-aided manufacturing ...

Eli Lilly is investing $3.5 billion in a new manufacturing facility in Lehigh Valley, Pennsylvania, to produce injectable ...

Allen Mills grew up around manufacturing most of his life. His grandfather owned the farm, but also on that property in east Indiana was a company called HyFlex, which his grandfather started in 1964 ...