Deep Learning Architecture CNN

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

IEEE

Hybrid Computing Architecture Based on Analog Phase-Change Memory Chips for Deep Neural Network Training

Abstract: Deep neural networks (DNNs) have revolutionized fields like image recognition and natural language processing but face limitations with traditional von Neumann architectures due to high ...

TMCnet

WiMi Releases Next-Generation Hybrid Quantum Neural Network Structure Technology, Breaking Through the Bottleneck of Image Multi-Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...

1dOpinion

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Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Hybrid Computing Architecture Based on Analog Phase-Change Memory Chips for Deep Neural Network Training

WiMi Releases Next-Generation Hybrid Quantum Neural Network Structure Technology, Breaking Through the Bottleneck of Image Multi-Classification

CBS and CNN Are Being Sacrificed to Trump

Deep Fake Detection using ResNext Convolutional Neural Network (CNN) combined with a Recurrent Neural Network (RNN)

Optimized Deep Learning Architecture for Precise Segmentation and Early Diagnosis of Diabetic Retinopathy

AlphaFold and the architecture that cracked protein structure

Hybrid deep-learning model eases brachytherapy planning