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Manufacturing IT, MES

Courtesy: MartinCSI
virtualization, Cloud, Analytics, Edge Computing April 2, 2020

Edge computing terms and skills

Six edge computing questions to ask about data collection, networking and control systems.

By Nate Kay, P.E.
Courtesy: CFE Media and Technology
Discrete Manufacturing March 17, 2020

Coronavirus reveals weaknesses, potential opportunities in supply chain

Even in the wake of COVID-19 (coronavirus), manufacturers still need human workers to manage the supply chain. The need for more automation and information is an opportunity for manufacturers.

By ABI Research
MIT computer scientist Aleksander Madry. Courtesy: Ian MacLellan, MIT
AI and Machine Learning March 15, 2020

Doing machine learning the right way

MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable and robust.

By Rob Matheson
Table courtesy: Control Engineering with information from Evonik at ARC Forum 2020, by ARC Advisory Group
Automation March 12, 2020

How to compete and win with automation

With automation at an inflection point, a variety of technologies and interoperable standards efforts are bringing higher levels of flexibility, integration and optimization.

By Mark T. Hoske
Courtesy: Inductive Automation
Data Acquisition, DAQ March 10, 2020

Software readiness for data analytics and Big Data

Expand industrial data access and get more out of it with tools such as message queuing telemetry transport (MQTT), which can help manufacturers realize Industry 4.0’s benefits.

By Travis Cox
Courtesy: Chris Vavra, CFE Media
Maintenance Strategy March 10, 2020

Preventing coronavirus through preparation

Many manufacturers are becoming increasingly concerned with Covid-19 breakouts on the production floor. There are ways to improve worker safety through preventive best practices and proper preparation.

By Eagle CMMS
Courtesy: Seeq Corp.
IIoT, Industrie 4.0 February 25, 2020

Use IIoT to improve OEE, increasing ROI

Case-use examples illustrate the point

By Michael Risse
AI is helping to improve the accuracy of predictive maintenance applications, but one of the biggest barriers to its adoption in the industrial space is having enough high-quality data to properly train AI models. Courtesy: New Products for Engineers Database
AI and Machine Learning February 23, 2020

Getting on board with AI technology

It is becoming a reality that artificial intelligence (AI) are starting to change the traditional role of the control engineer. There are some benefits, but there also potential barriers to its adoption in the industrial environment.

By Suzanne Gill
MIT researchers have created a “sensorized” skin, made with kirigami-inspired sensors, that gives soft robots greater awareness of the motion and position of their bodies. Courtesy: Ryan L. Truby, MIT CSAIL
Robotics February 16, 2020

Soft robotic arm uses flexible sensors to understand its position

MIT researchers have developed flexible sensors and an artificial intelligence model that tell deformable robots how their bodies are positioned in a 3D environment.

By Rob Matheson
Courtesy: Chris Vavra, CFE Media
Cybersecurity February 15, 2020

Cybersecurity tool uses machine learning, honeypots to stop attacks

Purdue University researchers have developed a cybersecurity tool designed to stop cyber attacks using supervised machine learning, unsupervised machine learning and rule-based learning

By Chris Adam