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

Superconducting materials could play a crucial role in the energy-efficient applications of the future. However, several technical challenges still stand in the way of their practical use. Now, ...

The AEM15820 energy-harvesting PMIC developed by e-peas is designed to unlock the full potential of hybrid photovoltaic (PV) cells in both small portable devices and larger static systems. It ...

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

GridBeyond's hardware and software coordinates several gigawatts of supply and demand to help balance the flow of electricity on the grid. The idea has attracted investors like Samsung Ventures.

Visual Components has launched Visual Components 5.0, a major update to its 3D manufacturing simulation and robot offline programming software platform. The new version introduces faster simulation ...

DC-DC semiconductors driving share gains in AI/data centers despite Nvidia shifts; weigh key risks and growth—read now.

Samsung unveils the Galaxy S26 series and Buds4 at Unpacked 2026, spotlighting built-in privacy display tech, agentic AI features, pricing, and preorder deals.

Abstract: Reliability is a critical performance metric for power semiconductor switches and power electronic systems. Yet guidance on how to test and quantify that reliability is fragmented in the ...

Professional cross-platform desktop application for controlling and monitoring a Keysight N6705 power analyzer over SCPI/TCP, built with Qt/QML (PySide6) and a Python MVVM backend.

Abstract: The rapid advancement of technology has resulted in a surge of electronic waste (e-waste) which poses serious environmental and health challenges. e-waste also contains valuable resources, ...

🔴 Top 3 Attrition Risk Factors: 1. Overtime is the #1 driver Employees working overtime leave at 30.53% vs 10.44% for those who don't — nearly 3x the rate. Reducing mandatory overtime could have an ...