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 ...

Vehicle monitoring systems evolved from basic diagnostics to GPS and telematics, enabling real-time vehicle tracking, safety ...

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 ...

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 ...

Plug-and-play controller platform provides adaptive energy management, simplifies scalability, enables tailored configurations, and supports rapid, low-disruption upgrades. The controller is designed ...

Vast Data expands AI Operating System with global control plane, zero-trust agent framework and deeper Nvidia integration - ...

The future of automation and artificial intelligence in warfare begins with structured, interoperable data. As a staff officer, the greatest obstacle I’ve observed to achieving truly data-driven ...

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 ...

BackgroundWater scarcity, declining water quality, and increasing climate variability are imposing unprecedented constraints on global food production, ...

You often hear entrepreneurs say, “We don’t know what we don’t know,” when talking about deficiencies in data gathering. But when you have data in silos, it’s more a case of “We don’t know what we DO ...