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

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 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 ...

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

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 ...

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

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 ...

IndustryWeek’s 2024 technology survey digs into data collection and analysis, cuts through AI hype, indicates new interest in automation and suggests one of our predictions this year was completely ...

AI and machine learning play a critical role in unlocking the full potential of manufacturing operations. By combining vast datasets with sophisticated algorithms, manufacturers can gain unprecedented ...