Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental inputāoutput data. 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 ...
Data-driven control represents a paradigm shift in the design and implementation of controllers for both linear and nonlinear systems. Eschewing traditional reliance on firstāprinciples 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 ...
The automotive industry continues to be a hotbed of innovation. Activity is driven by major automotive original equipment manufacturers (OEMs) working towards the development of software to create an ...
The car industry is evolving with the integration of agentic artificial intelligence (AI) in intelligent vehicles, revolutionizing the car manufacturing process through data-driven design and ...
Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
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