Streamline Control and Snowflake deliver a unified data foundation that helps energy organizations modernize faster and ...
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 ...
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 ...
Machine Design’s Motion Systems Takeover Week (Oct. 20–24, 2025) explored how the fusion of mechanical motion and data-driven control is reshaping high-precision applications across industries, from ...
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.
In the modelic control paradigm, the first step is to establish a dynamic model through system identification. This model offers a continuous but inaccurate description of state transition information ...
(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 ...
Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
New AI-powered platform – the first with full ERP integration – includes an AI agent that reviews contract terms and conditions, benchmarks market alt ...
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Khazna, Presight sign contract for AI-powered data centre unified command, control platform
ABU DHABI, 10th February, 2026 (WAM) -- Khazna Data Centers, a global leader in hyperscale digital infrastructure, has signed a long term, commercially significant contract with Presight to deploy an ...
Building a data-driven culture is a business transformation. Too often, organizations treat data initiatives as IT deployments, focusing on dashboards, data lakes and AI platforms. While these tools ...
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