Hidden Math Cap in AI Blood Cell Models Revealed by New Study
Researchers have identified a mathematical probability ceiling in ordinal machine learning models that can silently suppress rare blood cell stages, ...
Researchers have identified a mathematical probability ceiling in ordinal machine learning models that can silently suppress rare blood cell stages, ...
A new meta-analysis of 18 studies finds that AI models analyzing preoperative MRI, CT, and PET scans can predict lymphovascular ...
Researchers have developed a vertical federated deep learning framework using a binary manta ray optimization algorithm that selects cancer-related genes ...
Researchers in Shanghai have developed a multi-task deep learning model that estimates the age of rib fractures on chest CT ...
Researchers have developed an explainable deep learning framework that combines Monte Carlo dropout uncertainty, firefly optimization, and SHAP interpretability to ...
Researchers at The Ohio State University combined polarization-sensitive optical coherence tomography with a deep learning model to detect and localize ...
A new study in Neural Computing and Applications compares five deep learning models for tomato disease detection, finding that the ...
Researchers have developed SLAW, a training framework that adapts label smoothing to the sharpness of the loss landscape and reweights ...
Researchers from Democritus University of Thrace propose DDMnet, a lightweight depthwise separable network integrated with Mask2Former, achieving near state-of-the-art instance ...
A sweeping new survey in Vicinagearth maps the algorithms, applications, and open challenges of transfer metric learning, the technique that ...
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© 2025 Scienmag - Science Magazine