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 ...
We are sleepwalking into a skills gap in Artificial Intelligence (AI).
Vast Data expands AI Operating System with global control plane, zero-trust agent framework and deeper Nvidia 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 ...
During Machine Design’s Motion Systems Takeover Week (Oct. 20–24, 2025), we explored how the fusion of mechanical motion and data-driven control is reshaping high-precision applications across ...
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 ...
Modern warfare demands seamless coordination and interoperability among multinational forces for effective partnerships. Logistics, often referred to as the lifeblood of military operations, is a ...
How finance and operations leaders can take back control of their telecom spending by using a data-driven approach ...
Low-carbon energy systems are becoming increasingly complex due to high penetrations of renewable energy, distributed resources, and cyber-physical ...
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 ...
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