An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

Abstract: Many problems in science and engineering can be mathematically modeled using partial differential equations (PDEs), which are essential for fields like computational fluid dynamics (CFD), ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Abstract: Thanks to the biomimetic properties of synaptic plasticity, memristors are often utilized to mimic biological neuronal synapses. This article presents a new memristor synapse coupling (MSC) ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...

SÃO PAULO – Heads of Catholic TV stations from different parts of Latin America gathered in Brazil last week and founded the Latin American and Caribbean Audiovisual Media Alliance. The Alliance is ...

The Minnesota Vikings have traded DL Harrison Phillips and a seventh-round pick in the 2027 NFL Draft to the New York Jets in exchange for a sixth-round pick in the 2026 NFL Draft and a sixth-round ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...