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 race to net-zero emissions, real-time data is the unsung hero. Event-driven systems—powered by technologies like Apache Kafka—are transforming how industries manage energy, optimize resources ...

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 ...

The infrastructure strategies showing the most durability share a common theme: clean separation between infrastructure ...

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.

While sitting in urban traffic for hours, drivers may daydream about launching into the air and soaring above the congestion. Associate Professor Zhenbo Wang, of the Department of Mechanical, ...

A platform is no longer defined only by how efficiently it stores or processes data but by how reliably it preserves meaning, control and trust.

Vast Data Inc. continues its evolution from a storage provider to an artificial intelligence infrastructure platform today with a series of announcements at its Forward 2026 conference, highlighted by ...

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 ...

Launched this winter, the Data-Driven Plant Science course bridges experimental biology with embedded sensing, bioinformatics, and machine learning.