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-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 ...
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Advancing AI-driven digital analytics and data governance through original engineering leadership
How Governance-by-Design Frameworks Are Reshaping Responsible AI in Enterprise Systems As artificial intelligence cont ...
The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...
Below are five AI-driven trends set to define telecom strategies in 2026. They collectively signal a shift from manual ...
LASIK offers an example of how ophthalmology is becoming data-driven, using advanced imaging to move beyond static ...
Advanced packaging is transforming semiconductor manufacturing into a multi-dimensional challenge, blending 2D front-end wafer fabrication with 2.5D/3D assemblies, high-frequency device ...
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 ...
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