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 ...

Scientists turned to AI to help develop a new alloy that’s perfect for a simple 3D-printing process.

As AI's integration in the process of designing and improving industrial infrastructure progresses, governance needs to ...

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 ...

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 ...

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 ...

The manufacturing landscape in India is undergoing a profound transformation as nearly all major players invest heavily in artificial intelligence and machine learning technologies. This shift ...