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 ...

In a survey study of U.S. teens, more than half (55.3%) reported that they had created at least one image using nudification tools, which use generative artificial intelligence (GenAI) to show what an ...

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...

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 ...

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 ...

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 ...

Abstract: The classification of agricultural crops such as cassava, corn, rice, and sugarcane is crucial for efficient data collection and decision-making. However, the limited availability of labeled ...