AI and Machine Learning
The theme of “Discover what’s possible” at Automation Fair 2023 is a major building block toward better industrial manufacturing.
Like it or not, artificial intelligence is coming, and fast. According to new research from CFE Media, AI is already being used in a high percentage of industrial automation environments, and those that aren’t using it have plans to in the near future.
Control Engineering’s most clicked articles in October 2023 included stories on PID strategies, AI integration, PLC standards and more. Miss something? You can catch up here.
The ISA Leadership conference keynote speaker covers reactions by executives and legislators to generative AI and how this could impact cybersecurity professionals.
Researchers at the University of Michigan are using machine learning to fast-track the search for metal alloys that are hard and tough.
AI is affecting nearly every aspect of industrial automation, but that doesn’t mean companies are not experiencing challenges. While AI can have a huge impact on everything from digital transformation to industrial networking to cybersecurity, 57% of survey respondents have experienced at least some challenges with its implementation. See video.
MIT researchers developed a technique that coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
The neuron processes visual and tactile input together and is designed to make artificial intelligence (AI) smarter.
Researchers have developed a method to help artificial intelligence (AI) extract 3D information from 2D images.
Manas Dutta, a general manager for Honeywell’s Workforce Excellence Growth Initiative, discusses the changes happening in process manufacturing and the impact artificial intelligence and machine learning (AI/ML) is having and will have in the industry.