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 ...

Artificial intelligence is no longer just a software story. It’s quickly becoming a physical-world force—powered by smarter sensors, more capable ...

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 ...

As AI continues to evolve, its capacity to innovate and optimize will further solidify its role as a cornerstone of modern ...

Learn how APT has evolved over seven decades to now a fully-automated AI-assisted manufacturing process, without learning coding.

John Clemons is a Solution Consultant for Rockwell Automation. He's been working in the field of Manufacturing Technology for over 30 years. The most well-known artificial intelligence application ...

Researchers have developed a new method for detecting defects in additively manufactured components. Researchers at the University of Illinois Urbana-Champaign have developed a new method for ...

Despite a decade of promises, the potential of artificial intelligence and machine learning in manufacturing has yet to be realized. Yet there is a clear path forward. Implementing AI and machine ...

Digital Intelligence offers a practical framework for reducing decision latency by connecting industrial data, enterprise systems and human expertise into faster operational feedback loops.

In this contributed article, Gregory Miller, a writer with DO Supply, explores the ways in which machine learning is being applied in the modern industrial world, focusing on manufacturing. To date, ...

Learn how to apply AI in real-world contexts. Explore Manufacturing Analytics, NLP Solutions and Machine Learning in Action. Develop the skills to design, test and deploy practical AI models. Purdue ...

Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...