How the brain learns and applies rules: Sequential neuronal dynamics in the prefrontal cortex

Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...

MicroCloud Hologram Inc. Releases Next-Generation Quantum Convolutional Neural Network Multi-Class Classification Technology, Driving Quantum Machine Learning Towards ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...
Scientific Research Publishing

Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience ()

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
Business Insider

WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

BEIJING, Oct. 23, 2025 (GLOBE NEWSWIRE) -- BEIJING, Oct. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology ...
C&EN

Stacking Ensemble Neural Network for Chemical Safety Assessment: A Case Study of Thyroid Peroxidase and Natural Product Screening

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
INSPIRE

Network attack traffic detection with hybrid quantum-enhanced convolution neural network

The emerging paradigm of quantum machine learning (QML) combines features of quantum computing and machine learning (ML). QML enables the generation and recognition of statistical data patterns that ...
Frontiers

A novel end-to-end learning framework for inferring lncRNA-disease associations based on convolution neural network

Introduction: In recent years, lots of computational models have been proposed to infer potential lncRNA-disease associations. Methods: In this manuscript, we introduced a novel end-to-end learning ...
Frontiers

CNN-TumorNet: leveraging explainability in deep learning for precise brain tumor diagnosis on MRI images

Introduction: The early identification of brain tumors is essential for optimal treatment and patient prognosis. Advancements in MRI technology have markedly enhanced tumor detection yet necessitate ...
C&EN

DeepEpiIL13: Deep Learning for Rapid and Accurate Prediction of IL-13-Inducing Epitopes Using Pretrained Language Models and Multiwindow Convolutional Neural Networks

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Accurate prediction of interleukin-13 (IL-13)-inducing epitopes is crucial for ...