Elon Musk’s A.I. Is Generating Sexualized Images of Real People, Fueling Outrage

Late Thursday, Mr. Musk’s chatbot, Grok, limited requests for A.I.-generated images on X to paid subscribers of the social ...
eLife

Reconstructing voice identity from noninvasive auditory cortex recordings

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...
Deep Learning with Yacine on MSN

Create a perceptron from scratch in Python – step by step tutorial

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.
IEEE

Adversarial Examples Detection With Enhanced Image Difference Features Based on Local Histogram Equalization

Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
CNN

A Trump-favored MAGA network praised an increase in women soldiers. Its images were fake

Wednesday evening on the MAGA cable channel OAN, as Defense Department spokeswoman Kingsley Wilson gushed to host Matt Gaetz about an alleged year-over-year increase in female military recruits, four ...
Hosted on MSN

Neural Network python from scratch | MultiClass Classification with Softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Frontiers

The diagnostic value of convolutional neural networks in thyroid cancer detection using ultrasound images

Objective: To extract and analyze the image features of two-dimensional ultrasound images and elastic images of four thyroid nodules by radiomics, and then further convolution processing to construct ...
gc.cuny

Programming Neural Networks in Python: Part II (continued)

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 ...
IEEE

Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-Agnostic Explanations

Abstract: Deep convolutional neural networks (CNNs) have proven their effectiveness and are widely acknowledged as the dominant method for image classification. However, their lack of explainability ...
gc.cuny

Programming Neural Networks in Python: Part II

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 ...