New AI Architecture Makes Neural Networks Explain Their Own Reasoning
Researchers have introduced Neural Probabilistic Circuits, an AI architecture that pairs neural attribute recognition with probabilistic circuits to deliver image ...
Researchers have introduced Neural Probabilistic Circuits, an AI architecture that pairs neural attribute recognition with probabilistic circuits to deliver image ...
Researchers at IIT Jodhpur have built a retrieval-augmented AI framework and a massive new dataset, FactViz3M, that can locate the ...
A hybrid machine learning framework that reads leaf color, texture, and vein patterns diagnosed magnesium and iron deficiencies in field-grown ...
Researchers used an explainable machine learning model built from 216 diverse VEGFR-2 inhibitors to discover a novel naphthalene-substituted phthalazine compound ...
A year-long dual-laboratory study of 51 healthy donors shows that immunoglobulin subclass levels are remarkably stable within individuals yet vary ...
Researchers have created a hybrid onboard model for turboshaft engines that combines component-level physics simulations with sparse flight data calibration, ...
A new phased client selection method for federated learning improves accuracy, cuts training time and communication costs, and strengthens defenses ...
A new graph neural network study of spatial transcriptomics finds that attention mechanisms, not elaborate edge features, drive accurate identification ...
A study of nearly 12,000 patients found that leading large language models matched or exceeded an intermediate ophthalmologist in recommending ...
A systematic review of 207 studies finds that machine learning models, especially convolutional neural networks and random forests, consistently beat ...
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© 2025 Scienmag - Science Magazine