The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

We collaborate across academia, foundries, EDA providers, and development partners, while working with leading global corporations to solve real-world challenges. At the same time, we continue ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

With Time Machine, the underlying Windows servers remained on the correct real-world time to maintain security and ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Modern energy infrastructure is increasingly defined as cyber-physical systems where physical power distribution and digital communication are closely tied together. While this digitalization boosts ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Fusion power promises to generate large amounts of clean electricity from nearly limitless fuel. This article explains the main approaches and the companies that use them.