Page 42 - Control Engineering News Today

Learning Objectives Examine the basics of neural networks. Look at a neural network implementation in Python. Learn how neural networks are suitable for | AI and Machine Learning | Control Engineering

Learning Objectives Process sensors are evolving to provide predictive analytics for process and equipment monitoring. Two examples show how process | Process Instrumentation and Sensors | Control Engineering

There are many aspects to consider when selecting an industrial motor, such as application, operational, mechanical, and environmental issues. Generally | Motors and Drives | Control Engineering

Learning Objectives Explore intelligent plug-and-produce mechatronics. Learn how mechatronics can be smarter, with simpler operational control. Understand | Mechatronics and Motion Control | Control Engineering

  Learning Objectives Shell in the petrochemical industry and ZF Group in the automotive industry explained how digitalization efforts are helping | Control Engineering

Three thought leaders offer advice on improving industrial motor communications and how cybersecurity helps engineers.

A materials science company contracted a system integrator to help them develop and implement enterprise resource planning (ERP) system as well as a manufacturing execution system (MES) that could work together and improve operations.

The industrial Internet of Things (IIoT) is maturing and growing and companies are looking to expand with digital transformation.

The top 5 articles from the past week covered material science innovations, advice for optimizing VFDs, and Control Engineering’s 2023 System Integrator Giants

Learn about building a business case for workforce digital transformation, with advice on related productivity gains in this Feb. 22 webcast.