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 ...

Rockwell Automation, Inc. (NYSE: ROK), the world's largest company dedicated to industrial automation and digital ...

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 ...

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 ...

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 ...

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 ...

As per the report published by The Brainy Insights, the global smart manufacturing market is expected to grow from USD 219.64 billion in 2022 to USD 695.07 billion by 2032, at a CAGR of 12.21% during ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...