Emotional Perception AI applied for a UK patent claiming a process for using an Artificial Neural Network (“ANN”) for associating musical tracks together based on both their emotional and musical ...

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 ...

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.

This study aimed to investigate the differences in eye movement characteristics between first reading and rereading and to develop a neural network model for classifying these reading practices. The ...

Wireless customers continue to be glued to their devices, with usage jumping 40 minutes daily compared to early 2024, per the J.D. Power 2025 U.S. Wireless Network Quality Performance Study—Volume 1.

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 ...

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 ...

This repository contains my implementation of a feed-forward neural network classifier in Python and Keras, trained on the Fashion-MNIST dataset. It closely follows the tutorial by The Clever ...