Remove Artificial Intelligence Remove Discrete manufacturing Remove Smart manufacturing
article thumbnail

Grant awarded to increase artificial intelligence and robotics use in poultry processing

Control Engineering

Researchers in Arkansas and two other states will be using a $5 million grant to increase use of artificial intelligence and robotics in chicken processing to reduce waste in deboning and detect pathogens. We will use artificial intelligence and virtual reality to improve precision and reduce wastage.”

article thumbnail

AI in manufacturing: Where it’s been and where it’s going

Control Engineering

Manufacturing AI insights The integration of AI into discrete manufacturing aligns with the concept of Industry 4.0, The future of AI in manufacturing will be able to help with machine learning algorithms to reduce downtime, improve efficiency and extend equipment lifecycles. Artificial intelligence (AI) is everywhere.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Jim Beretta, president of Customer Attraction, shares top automation trends for 2023

Automation Mag

Advances in automation technologies are transforming the industrial manufacturing landscape. Broadly termed “digital transformation,” these smart manufacturing initiatives bring physical and cyber systems together for greater performance, efficiency, sustainability and safety. AI: Everywhere, all together, all at once.

article thumbnail

Pack Expo Recap: Developing automation systems for facilities

Control Engineering

Many of the advances displayed highlighted progress with the Internet of Things (IoT), smart manufacturing and artificial intelligence (AI). Manufacturers are trying to deliver products that go beyond their initial offerings because their customers need to resolve many problems at once.

article thumbnail

How to optimize industrial motor communications, Part 1, data types

Control Engineering

Are motor and drive communications getting easier or more difficult with smart manufacturing industry 4.0 Operators can use this analyzed information, often through artificial intelligence and machine learning (AI/ML) to improve, short-term real-time control and the long-term process optimization of the system.