Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Using Python, web scraping, and advanced algorithms, the solution aggregates real-time data from marketplaces to deliver ...

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 ...

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 ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Humans need to interact with machines in manufacturing applications to task those machines, monitor processes and troubleshoot problems. Historically, human-machine interfaces in the industrial ...

Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new paper, ...

Scientists turned to AI to help develop a new alloy that’s perfect for a simple 3D-printing process.

Shortly after finding success with a digital collaboration combining the expertise of universities and major pharma players like AstraZeneca and GSK, the United Kingdom’s Centre for Process Innovation ...