The cost/performance ratio of FPGAs has dramatically improved over the past ten years while ASICs have grown to large system-on-chip designs. The electronic design automation industry has evolved ...

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 ...

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 ...

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 ...

Industrial automation is at a pivotal crossroads. Global manufacturers must navigate disruptive supply chains, shifting market demands and the relentless pace of technological advancement. Executives ...

Companies looking to integrate complex control tasks, real-time operations and advanced visualizations might benefit from the flexibility, expandability and support for multiple operating systems that ...

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 ...

A common digital thread eliminates silos between OT and IT systems, enabling collaboration across automation, process, QA and validation teams throughout the project lifecycle. Requirements ...