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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

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 ...