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 ...

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

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

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

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 ...

An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time without electrical shocks.

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 ...

Abstract: Convolutional Neural Networks (CNNs) require careful hyperparameter tuning, which significantly impacts model performance. Manual tuning is time-consuming and often suboptimal. This paper ...

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...