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 ...

In recent years, significant advancements in ML have influenced several fields beyond computer science, including autonomous driving, structural color design, medicine, and face recognition. The ...

50% of companies that embrace AI over the next five to seven years have the potential to double their cash flow with manufacturing leading all industries due to its heavy reliance on data according to ...

Flexxbotics announced that Orizon Aerostructures has deployed its autonomous manufacturing platform to expand automation ...

Early adopters of lights-out concepts are now learning to scale autonomous production. Siemens’ Xcelerator platform is one solution helping manufacturers make headway. As manufacturing companies ...

There’s too much talk and not enough action around Industry 4.0, it’s all vision and almost no delivery. That’s the view of manufacturing visionary and Forbes 30under30 recipient Theo Saville, ...

Tyler Bouchard and Tyler Modelski explore the fundamental changes needed to scale industrial artificial intelligence in additive manufacturing.

Automakers began to reinvent themselves as digital companies a few years back, but now that they are emerging from the business trauma of the pandemic, the need to complete the digitalization journey ...

In the first of a four-part series, Robert Dusenbury provides an overview of how his team went about designing and producing a golf putter to demonstrate the feasibility and benefits of closed-loop ...

A machine that experiences constant micro-vibration will eventually suffer from metal fatigue and premature component failure. This results in unscheduled downtime, which represents the highest cost ...