AI & Machine Learning

Courtesy: Brett Sayles
AI & Machine Learning February 24, 2022

AIoT improves transparency, quality for manufacturers

The speed of adoption and the potential benefits of combined artificial Intelligence (AI) and Internet of Things (IoT) technologies in the industrial sector could lead to many positive benefits.

By Suzanne Gill
Courtesy: CFE Media and Technology
AI & Machine Learning February 4, 2022

Conversational IoT and AI powered by “chatbots”

Even in industry, branding and personality play a role

By Ken Herron
Courtesy Micropsi Industries.
AI & Machine Learning January 17, 2022

Top 5 Plant Engineering articles Jan. 10-16, 2022

Articles about the future of manufacturing production, NOV transforming upstream design process, the benefits of no-code robotics, and more were Plant Engineering’s five most clicked articles from Jan. 10-16, 2022. Miss something? You can catch up here.

By Keagan Gay
Automated production process. The UR10e places a metal ring on a conveyor belt.
AI & Machine Learning January 10, 2022

The future of manufacturing production is here today

Fully exploit the potential of robotics with AI

By Maximilian Mutschler
Courtesy: Massachusetts Institute of Technology (MIT)
AI & Machine Learning December 7, 2021

Artificial intelligence developed to understand object relationships

A machine-learning model developed by MIT researchers could enable robots to understand interactions in the world in the way humans do with artificial intelligence.

By Adam Zewe
Courtesy: CFE Media and Technology Virtual Training Week, Wood
AI & Machine Learning October 13, 2021

AI, controls and the future of maintenance

Artificial intelligence (AI) techniques are helping control and maintenance effectiveness, and an application demonstration shows how process simulation and machine teaching builds AI-based controllers to resolve industry problems, as shown in an Oct. 21 Virtual Training Week course.

By Mark T. Hoske
Courtesy: Texas A&M Engineering
AI & Machine Learning October 12, 2021

Developing organic batteries using machine learning

Texas A&M researchers are using Bayesian frameworks to produce a polymer chain capable of energy storage, in turn creating longer-lasting organic batteries.

By Michelle Revels
Figure 1: The ideal Model 1 trendline is seldom realized because, left unmitigated, a model’s accuracy diminishes over time, like the Model 2 and Model 3 trendlines. Courtesy: Siemens
AI & Machine Learning September 13, 2021

Modelling software and machine learning improve production efficiency

Advances in automated data processing and machine learning algorithms enhance the value of models and simulation

By Alessandra Da Silva
Courtesy: Cincinnati Incorporated/Steve Rourke, CFE Media and Technology
AI & Machine Learning August 31, 2021

Study finds manufacturers willing to implement data-driven and AI initiatives

A Purdue university survey found Indiana manufacturers are willing to use artificial intelligence (AI) and data-driven initiatives to improve their facilities, but actually getting there remains a hurdle for many.

By Brian Huchel
Image courtesy: Brett Sayles
AI & Machine Learning August 18, 2021

AI process optimization platform receives funding

Recent $30 million growth round led by Zeev Ventures and Insight Partners, with participation from Spider Capital and UpWest

By Imubit