Explainable Neural Network Framework Improves Smart Grid Power Demand Forecasting Accuracy
A deep learning framework combining gated memory refinement with convolutional and transformer attention achieved 94.78 percent accuracy in smart grid ...
Tag: transformer attention
Merging Memory: New KVCB Method Slims AI Caches Without Losing the Long Tail
Researchers at Anhui University have developed KVCB, a key-value cache merging method that compresses large language model memory by fusing ...
Hybrid AI Model Predicts Cross-Border Delivery Delays With Unusual Honesty
Researchers have built a five-branch hybrid deep learning framework called ADAPT-FUSE that predicts cross-border e-commerce delivery delays with competitive accuracy ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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