AI Learns From Its Own Past to Sharpen Graph Neural Networks
Researchers have developed a memory-augmented self-distillation framework that boosts graph neural network accuracy by 2.5 to 6 percent across benchmark ...
Researchers have developed a memory-augmented self-distillation framework that boosts graph neural network accuracy by 2.5 to 6 percent across benchmark ...
Japanese researchers have built a deep learning model that detects neonatal pneumothorax on chest X-rays with an AUC of 0.975, ...
Researchers have developed SWIFT-KD, a federated learning framework combining hierarchical sliding-window transformers with knowledge distillation that predicts building energy consumption ...
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© 2026 Scienmag - Science Magazine