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The AI cell counter that lives in the biosafety cabinet

Modern biology runs on precision, yet so much of the daily lab workflow remains stubbornly manual. Even today, one of the ...
Scientific Research Publishing

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) ...
IEEE

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

Abstract: The utilization of digital video alterations has been observable for an extended period thanks to skillful deployment of visual enhancements; however, the latest progressions in deep ...
IEEE

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

Abstract: Diabetic Retinopathy (DR) is a primary cause of vision impairment in individuals with diabetes, necessitating early and precise detection for prompt treatments. Diabetic Retinopathy ...