One approach to machine learning (ML) requires extensive training using captured data on high-powered servers. It allows for the creation of a deep neural network (DNN) that can then be deployed on ...

Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...

Murphy’s Law decrees: “Anything that can go wrong, will go wrong.” For any of us whose livelihood depends on our labor, things going wrong could mean: “Anything that can be automated, will be ...

At its core, machine learning studies the construction of algorithms and learns from them to make predictions on data by building models from sample inputs. If we further break it down, machine ...

Why engineers are making software defined automation, digital twins, soft PLCs and other agnostic tools part of the manufacturing automation toolkit. Change is happening at record speed. More ...

“In this new age of ‘work from anywhere,’ having centralized, on-demand design tools is critical for businesses to scale production and easily adapt to evolving customer needs,” said Brian Shepherd, ...

Automation takes mechanization one step further. While mechanization replaces manual labor with machines, automation replaces human guidance with controls hardware, computers, and programming (PCs, ...