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 ...

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 ...

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.

Streamline Control and Snowflake deliver a unified data foundation that helps energy organizations modernize faster and ...

Operational planning and equipment control help streamline container flow near major East Coast ports. ELIZABETH, NJ, ...

How Governance-by-Design Frameworks Are Reshaping Responsible AI in Enterprise Systems As artificial intelligence cont ...

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 ...

How finance and operations leaders can take back control of their telecom spending by using a data-driven approach ...

Atal Bansal is the Founder and CEO at Chetu, a global U.S.-based custom software solutions and support services provider. For centuries, quality control inspection has been time-consuming and ...