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

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

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 ...

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 ...

On one side, operations and quality leaders are under pressure to deploy machine learning that can meaningfully reduce ...

Manufacturing companies are increasingly exploring the use of artificial intelligence to improve efficiency and reduce operational waste. At JKO Nigeria Enterprise, a firm specialising in industrial ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...