From predictive maintenance to precision quality control, AI and machine learning are transforming manufacturing into a ...

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 ...

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 ...

Machine learning (ML) and computer vision (CV) technologies are vital branches of artificial intelligence (AI) that help automate tasks and increase efficiency across industries. Experts predict that ...

Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

Discover how a new smart manufacturing drilling solution is transforming plastic injection molding. This innovation ...

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

From AI-driven predictive maintenance to ERP-integrated CNC workflows, manufacturing is entering a new era of connected, intelligent supply chains. Companies are harnessing machine learning, ...

Key opportunities in the pharmaceutical manufacturing software market include leveraging AI and ML integration, cloud ...

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 ...

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

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...