AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

Smart manufacturing is evolving beyond traditional automation toward autonomous "lights-out" factories where digital twins ...

AI/ML enables better energy planning, including precise calculations to optimize the power mix as well as timing to garner financial incentives. Source: Emerson 72% of manufacturers using AI to reduce ...

John Clemons is a Solution Consultant for Rockwell Automation. He's been working in the field of Manufacturing Technology for over 30 years. The most well-known artificial intelligence application ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Manufacturing leaders can’t navigate today’s technological landscape without encountering artificial intelligence at every turn. From medical devices to aerospace systems, AI features are being ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

Manufacturing facilities are facing challenges in maintaining efficiency while meeting increasing production demands. Allie AI — an artificial intelligence company — is working to redesign the ...

Rules-based policies and processes offer opportunities for enterprises to begin successful AI automation journeys. Provided byIntel In June 2023, technology leaders and IT services executives had a ...