Abstract: The application of artificial neural network (ANN) in video processing encounters significant challenges, including large data volumes, numerous linear operations, and high power consumption ...

Abstract: Neural network (NN) has been widely applied in radio frequency power amplifier (RFPA) digital predistortion (DPD) due to its robust nonlinear fitting capability. Conventional NN DPD ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

1 CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China 2 Department of Psychology, University of Chinese Academy of Sciences, Beijing, China Objective: This study aimed to ...

The Mission: Impossible franchise might be over for good. After eight movies and almost 30 years, it feels like the kind of franchise that’s difficult to summarize. It was different things at ...

Introduction: Modern society's increasing stress and irregular lifestyles have led to rising insomnia prevalence, making sleep quality assessment crucial for health management. This study investigates ...

The series is designed as an accessible introduction for individuals with minimal programming background who wish to develop practical skills in implementing neural networks from first principles and ...

Innatera’s Pulsar blends analog and digital SNN accelerators to deliver always-on neural-network operation for low-power applications. 1. Innatera’s Pulsar system-on-chip incorporates analog and ...