Nature

Convolutional architectures are cortex-aligned de novo

What underlies the emergence of cortex-aligned representations in deep neural network models of vision? Earlier work suggested that shared architectural constraints were a major factor, but the ...
Nature

Neural encoding with unsupervised spiking convolutional neural network

Accurately predicting the brain responses to various stimuli poses a significant challenge in neuroscience. Despite recent breakthroughs in neural encoding using convolutional neural networks (CNNs) ...
Yahoo Finance

WiMi Achieves Breakthrough in Deep Convolutional Neural Network Technology Based on Quantum Parameterized Circuits

BEIJING, May 28, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company") is a leading global Hologram Augmented Reality ("AR") Technology provider. A quantum deep ...
Pusula

One-Hot Encoding vs. Binary Encoding in Output Layers of NNs

This article explores the comparative performance of one-hot encoding and binary encoding in output layers for simple convolutional neural networks applied to MNIST, Fashion-MNIST, CIFAR-10, and CIFAR ...
Pusula

Understanding Positional Encoding in Transformers and Beyond with Code

Transformer models, unlike RNNs, process input sequences in parallel rather than step-by-step. This parallelism significantly enhances computational efficiency; however, it also means that ...