Latent spaces are abstract, high-dimensional areas within neural networks where patterns and relationships are encoded, but not readily interpretable by humans. Although latent space studies are still ...

ABSTRACT: Cognitive impairment is a frequent and debilitating outcome of stroke, profoundly affecting patient independence, recovery trajectories, and long-term quality of life. Despite its prevalence ...

Filmmaker Ryan Coogler’s Sinners increased its already huge awards season presence with 18 nominations for the 2026 NAACP Image Awards, including Outstanding Motion Picture. The nominations for the ...

Cynthia Erivo, Michael B. Jordan and Kendrick Lamar are among the nominees for Entertainer of the Year. By Brande Victorian Deputy Awards Editor Coming in second place with a total of nine nominations ...

A deepfake image of President Donald Trump that received millions of views on social media is the latest large-scale example of how generative artificial intelligence can be used to create falsehoods ...

Abstract: Deep neural network and Machine learning are a latest emerging concept in the field of data science. Due to multi-layer hierarchical feature extraction in conjunction with control variables ...

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...

It’s been over a month since I switched to the OnePlus 15 as my daily driver, and the journey, so far, has been pretty exciting. It’s not a perfect phone, but it has an undeniable charm that is rooted ...

This project provides a non-invasive system to predict a person’s ABO/Rh blood group from their fingerprint image using deep learning. The solution combines advanced CNN modeling, non-invasive data ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...