The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...

In a new era of industrial revolution, intelligence is key. Knowing how product design can affect manufacturability or how production processes can affect finished quality helps manufacturers make ...

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 ...

Learning is a process much like manufacturing; initial mistakes can lead to new discoveries while an ability to adapt and change can lead to an improved end result. Miami University College of ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

The nature of manufacturing is changing, and at the heart of this transformation is the use of real-time data, automation, robotics and machine learning — to name just a few technologies that ...

WEST LAFAYETTE, Ind. — Purdue Polytechnic’s School of Engineering Technology unveiled its Smart Manufacturing Labs, which will allow students to work in an interactive learning environment inside one ...

Predicting exactly how and when a process tool is going to fail is a complex task, but it’s getting a tad easier with the rollout of smart sensors, standard interfaces, and advanced data analytics.

Machine learning enables AI to learn and improve without direct programming. AI uses machine learning to analyze vast data sets and identify patterns. Accuracy of AI predictions depends on quality ...