How is AI impacting manufacturing industry?

Manufacturers can leverage artificial intelligence (AI) to improve operational efficiency as well as safety. AI can improve things like load-out cycle times, production bottlenecks and high production waste levels.

What is machine learning?

Machine learning (ML) is the use and development of computer systems that are able to learn and adapt by using algorithms and statistical models to analyze and draw inferences from patterns in data.

What is the difference between AI and machine learning?

Artificial intelligence (AI) is the concept of creating smart intelligent machines. Machine learning (ML) is an AI subset that helps users build AI-driven applications.

What is the future of AI and ML in manufacturing?

AI and ML's role in the manufacturing industry is growing and they can help companies scale and improving their businesses by allowing them to gain new insights and predict where they're headed.

AI & Machine Learning | Plant Engineering

AI & Machine Learning February 23, 2023

Plant Engineering most-viewed AI and machine learning articles in 2023

Read the best articles about AI and machine learning including AI-based maintenance, software improving AI, AI-enabled robots and more.

By Tyler Wall

AI & Machine Learning November 29, 2022

Operationalize machine learning at the edge

Overcome the obstacles facing the oil & gas industry with the Internet of Things (IoT), which has had a major impact.

By Jason McCampbell

AI & Machine Learning September 14, 2022

Improving worker optimization on the factory floor with artificial intelligence

Artificial intelligence (AI) can be used to enhance worker productivity by gathering information about their work performance and turning it into actionable data.

By Chris Vavra

Figure 2: A complete and fully automated solution inspects solder joints at BSH. Using Micropsi’s MIRAI, the solution was trained through human demonstration instead of programmed. Instead of manually guiding the probe to each individual solder joint, employees can now concentrate on value-creating activities. Courtesy: Micropsi Industries

AI & Machine Learning September 5, 2022

Software improves AI, automation flexibility

Software-based artificial intelligence (AI) can be used to give robots abilities that allow them to straddle the flexibility gap between small batch manufacturing and high-volume automation.

By Matt Jones

AI & Machine Learning July 25, 2022

Predictive maintenance improved by AI software enhancements

Software enhancements are evolving to help manufacturers implement a predictive maintenance prioritization strategy.

By Steve Sands

AI & Machine Learning May 26, 2022

Why automating AI-as-a-service is now mission critical

AI-as-a-service (AiaaS) combines an AI-ready IIoT platform with automating deep learning intelligence to help accelerate the realization of the greater manufacturing mission.

By Nicol Ritchie

AI & Machine Learning May 19, 2022

How unsupervised machine learning benefits industrial automation

Unsupervised ML is designed to act on unlabeled data using algorithms that excel at identifying patterns and pinpointing anomalies in data ranging from condition monitoring and performance testing to cybersecurity and asset management.

By Kristin Lewotsky

Optimize value creation across the entire value chain.

AI & Machine Learning March 7, 2022

The power of automating financial processes in the manufacturing industry

In the manufacturing industry, embracing AI technology and other automated solutions will have more advantages to work more efficiently

By Florian Winterstein

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