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 ...

Kevin Patel is a Quality and Manufacturing Leader based in Chicago, specializing in AI-driven quality systems, Industrial IoT ...

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 ...

Check out this new research in Engineering! It introduces an adaptive edge-cloud collaboration method for intelligent machine ...

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

Explore how six smart Singapore factories are using advanced technologies to gain global recognition in manufacturing. Read ...

Established in 1809, Miami University is located in Oxford, Ohio, with regional campuses in Hamilton and Middletown, a learning center in West Chester, and a European study center in Luxembourg.

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 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 ...

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 ...

The Food and Drug Administration (FDA) published a pair of discussion papers this week in an effort to outline areas artificial intelligence and machine learning may help in manufacturing ...

Generative AI (GenAI) services like ChatGPT and Google Gemini vividly illustrate how artificial intelligence (AI) technology can derive value from volumes of data that are too vast for humans to ...