Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

Jennifer Adighije, has underscored the growing impact of Artificial Intelligence (AI) and Machine Learning (ML) in ...

The Niger Delta Power Holding Company has adopted artificial intelligence and machine learning technologies to predict equipment failures and improve the performance of its power plants as part of ...

Processing data closer to its source (edge computing) combined with AI allows for faster analysis and decision-making in preventative maintenance, as well as enhances data security. The work flows in ...

Predictive maintenance (PdM) represents a paradigm shift in industrial maintenance strategies, leveraging advanced data analytics and machine learning (ML) techniques to predict equipment failures ...

Abstract: Predictive maintenance is an innovative approach that predicts equipment failure before it happens to allow organizations to schedule the maintenance activities at optimal times. The ...

These days, summer in the city — any city, or pretty much anywhere — often means temperatures in the 90s with a heat index over 100. Not a time when you want an unexpected air conditioner failure. To ...

In today’s industrial and energy intensive landscape, unplanned equipment failures can lead to substantial financial losses. Predictive maintenance emerges as a powerful solution, using real-time data ...