Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. 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 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 ...

There is now broad consensus that data-driven decision-making is essential to success in today’s highly competitive manufacturing environment. Customers’ price-consciousness, combined with demands for ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

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.

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...