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 ...

The data silos contained in disconnected manufacturing systems makes gaining an accurate understanding of day-to-day operations difficult. A Unified Namespace architecture is ...

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 ...

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 ...

The Smart Factory Innovation and Technologies (Smart FIT) Lab is more than just a space filled with advanced equipment. It's a hub for innovation, learning, and research: A place where students, ...

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.

SOUTHFIELD, Mich.--(BUSINESS WIRE)--Tooling U-SME, the workforce development division of SME, and CESMII–The Smart Manufacturing Institute, sponsored by NIST and the U.S Department of Energy, have ...

Learn how smart sensors are transforming manufacturing by enabling predictive maintenance, improving diagnostics and enhancing operational efficiency. Discover strategies to overcome compatibility ...