News-Medical.Net

Sleep protects complex neural networks from drifting into states of permanent instability

Every animal that has ever been studied closely, from the fruit fly to the philosopher, surrenders each day to a state that ...

AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
PNAS

Correction for Anand et al., Convolutional neural networks outperform other presence-only species distribution modeling algorithms

The authors note that, due to a production error, Figures 1–4 appeared in the incorrect order. Figure 1 should appear as Figure 2, Figure 2 should appear as Figure 3, Figure 3 should appear as Figure ...
AlphaGalileo

Breakthrough in Efficient GNN Training Architecture: Research Team Proposes Hardware-Algorithm Co-Optimization Solution

A Chinese research team has achieved a breakthrough in improving the training efficiency of Graph Neural Networks (GNNs). They introduced an ...
The New York Times

Europe Accuses TikTok of ‘Addictive Design’ and Pushes for Change

European Union regulators said the app’s infinite scroll and personalized algorithm led to “compulsive” behavior, especially among children. By Adam Satariano Reporting from London TikTok’s endless ...
IEEE

Multiscale Convolutional Neural Network With Self-Attention Mechanism and Soft Thresholding for Industrial Process Fault Diagnosis

Abstract: This article proposes a multiscale convolutional neural network (MSCNN)-based fault diagnosis method (AM-MAST) using a self-attention mechanism and soft thresholding. It aims to improve the ...
IEEE

ConvGA: Convolution Network Guided Genetic Algorithm for Optimal PDN Decoupling Design

Abstract: Power supply noise has emerged as a critical bottleneck in modern integrated circuit design, where increasing current densities and higher operating frequencies pose significant challenges ...
Frontiers

Neural heterogeneity as a unifying mechanism for efficient learning in spiking neural networks

The brain is a highly diverse and heterogeneous network, yet the functional role of this neural heterogeneity remains largely unclear. Despite growing interest in neural heterogeneity, a comprehensive ...