Coverage of Siemens addition of artificial intelligence via neural networks to traditional control programs is one of Automation World’s top 5 articles of the year.
Siemens demonstrated “flexible grasping” using AI and neural network processing.
In September 2019, Stephanie Neil, Automation World’s Senior Editor, reported on how Siemens is using neural networks in its controller programs to enable controllers to recognize complex patters, much like the human brain. By bringing this technology into the company’s S7-1500 controller and ET 200MP I/O system with the release of the S7-1500 TM neural processing unit (NPU), Siemens is able to extend the capabilities of the controller to change based on product or process specifics, allowing the machines it controls to naturally become more flexible.
Based on web traffic to this article, it ranked as the #4 most visited article on the Automation World site in 2019.
George Reed, with the help of Factory Technologies, was looking to further automate the processes at its quarries and make Ignition an organization-wide standard.
Goodnight Midstream chose Ignition because it could fulfill several requirements: data mining and business intelligence work on the system backend; powerful Linux-based edge deployments...
In the automation world, the Purdue Model (also known as the Purdue reference model, Purdue network model, ISA 95, or the Automation Pyramid) is a well-known architectural framework...
Digital Transformation has become one of the most popular buzzwords in the automation industry, often used to describe any digital improvements to industrial technology. But what...
