Overview:  AI is elevating both teaching and learning experiences by personalizing content, enhancing student engagement, and offering real-time feedback.S ...

The achievement was made by uncovering and activating capacity that had always been there: Staff just couldn't see it until they implemented consistent processes and system-wide analytics.

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost pressures persist.

An information technology expert, Olufemi Ariyo, has proposed the deployment of integrated, data-driven, and people-centric technology systems as a practical solution to Nigeria's lingering security ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

Maritime transportation and offshore renewable energy systems form the backbone of sustainable ocean economies. As these infrastructures scale in complexity ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...