AI & Machine Learning
Top 5 Plant Engineering content: October 30 to November 5, 2023
Top 5 Plant Engineering content over the past week covered using AI, predictive maintenance software, drive modernization and more. Miss something? You can catch up here.
Bridging the Gap series: The challenges of AI integration in plant environments
AI is affecting nearly every aspect of the plant environment from the top floor to the shop floor, but that doesn’t mean its adoption is moving forward seamlessly. While AI can have a huge impact on things like energy efficiency and supply chain management, 57% of survey respondents have experienced at least some challenges with its implementation. See video.
How to use artificial intelligence: A guide for mechanical engineers
By embracing artificial intelligence and machine learning, mechanical engineers can thrive in a digital marketplace
Machine learning approach used in crystalline structures for solid-state batteries
Machine learning (ML) approach opens insights into an entire class of materials being pursued for solid-state batteries by Duke University researchers.
Researcher improving safety for autonomous systems
A University of Wisconsin-Madison researcher is working to establish a theoretical framework and design control algorithms to ensure the safety of autonomous systems with machine learning components.
How will artificial intelligence change the job of the plant manager?
Will you lose your job to artificial intelligence? How AI is changing the game
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.
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.
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.
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.