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

New research shows that the application of AI remains uneven across the full spectrum of disaster management, with most systems still concentrated on detection and prediction rather than actionable ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast consumption, detect faults, and optimize system performance in real-time. What was ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time ...

High‑NA EUV's reduced field size is driving new innovation in optical proximity correction and mask synthesis.

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...

The rapid development of artificial intelligence (AI) technology has become a cornerstone of multidisciplinary research worldwide, establishing a new paradigm of "AI for Science." AI is progressively ...