Reliability is expected when systems are new. The real test comes after deployment and years of continuous operation.

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 ...

MILWAUKEE--(BUSINESS WIRE)--Rockwell Automation, Inc. (NYSE: ROK), the world’s largest company dedicated to industrial automation and digital transformation, announces the launch of FactoryTalk® ...

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 ...

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

“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, ...