Abstract: Fraud detection in digital payment systems is a critical challenge due to the growing complexity of transaction patterns and the inherent class imbalance in datasets. This article proposes a ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...

Molecular circuits capable of autonomous learning could unlock novel applications in fields such as bioengineering and synthetic biology. To this end, existing chemical implementations of neural ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

The new Pixel 10 is undoubtedly the highlight of Google’s latest Pixel 10 lineup this year, owing to its major improvements in performance, battery, charging, and camera. The new 5x telephoto lens ...

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 ...

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 ...

Abstract: In some application scenarios, radio frequency (RF) devices face strict power consumption limits, necessitating digital predistortion (DPD) models with lower complexity. To address the needs ...

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 ...