Data-driven control represents a paradigm shift in the design and implementation of controllers for both linear and nonlinear systems. Eschewing traditional reliance on first‐principles models, this ...

The automotive industry continues to be a hotbed of innovation, with activity driven by the need for better customer experience, interest in personalised vehicle information and growing importance of ...

Predictive modeling and atomic-scale control are reducing development time for advanced materials, also increasing precision, functionality, and efficiency.

Transform concrete operations with real-time strength monitoring. Data-driven contractors gain schedule control, cut material waste, and improve project margins significantly.

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.

Data is one of organizations' most potent assets in an era of growing competition and artificial intelligence (AI) mandates. However, effectively managing and using it requires balancing strict ...

(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

How organizations can do more with their data to realize business goals and achieve a sustainable competitive advantage. In partnership withWNS Triange In 2006, British mathematician Clive Humby said, ...