Deep Learning with Yacine on MSN

Stochastic depth for neural networks – explained clearly

A simple and clear explanation of stochastic depth — a powerful regularization technique that improves deep neural network ...
EurekAlert!

Bayesian neural network evaluation method on the neutron-induced fission product yields of Thorium-232

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
Hosted on MSN

Novel out-of-core mechanism introduced for large-scale graph neural network training

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a 12.02× improvement in runtime efficiency, while using only 22.24% of the ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Science Daily

AI may not need massive training data after all

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...
Quanta Magazine

How Do Machines ‘Grok’ Data?

For all their brilliance, artificial neural networks remain as inscrutable as ever. As these networks get bigger, their abilities explode, but deciphering their inner workings has always been near ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...