Equipment maintenance, quality assurance, and supply chain optimization are as critical to industrial and manufacturing processes today as they were more than a century ago, but doing these ...

AI-powered vision is closing the gaps in digital process tracing by automatically documenting manual operations, reducing ...

For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...

Machine tooling technology in automation systems has taken a step forward with a slew of announcements this week from Siemens. The company has added significantly to its Sinumerik automation system, ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. Every day we hear about new ways automation is transforming ...

A team of chemists and engineers at the University of British Columba working with colleagues at pharmaceutical company Pfizer has developed a chemical processing system combining computer vision with ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

From drones to delivery bots to autonomous vehicles, machines already far outnumber humans. Putting these machines to work and effectively managing their data means understanding that their network ...

The versatile new R3 thermoforming packaging machine developed by Multivac is designed to process recyclable single-material films consistently and reliably with minimal maintenance. The machine also ...

Machine learning has emerged as a powerful tool for understanding and optimising adsorption processes across a range of environmental and industrial applications. By leveraging data‐driven models, ...

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...