Industrial automation is at a pivotal crossroads. Global manufacturers must navigate disruptive supply chains, shifting market demands and the relentless pace of technological advancement. Executives ...

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.

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, ...

How organizations can do more with their data to realize business goals and achieve a sustainable competitive advantage. In partnership withWNS Triange In 2006, British mathematician Clive Humby said, ...

Many organizations realize the importance of data-driven decision-making, yet few manage to harness the full potential of their data. The list of challenges ranges from fragmented data silos to ...

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 ...

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 ...

In the May 5, 2021, Creating Data Advantage memo, then Deputy Secretary of Defense Kathleen Hicks states, “Data is essential to preserving military advantage, supporting our people, and serving the ...