Attention Explained: A sweeping survey maps the engine behind modern AI
A new survey in Machine Learning provides an extensive taxonomy of attention mechanisms and more than thirty Transformer variants that ...
A new survey in Machine Learning provides an extensive taxonomy of attention mechanisms and more than thirty Transformer variants that ...
A new survey in Artificial Intelligence Review unifies graph structure learning and automated graph neural architecture search into a single ...
A new hybrid 3D CNN-graph attention framework with entropy-guided fusion achieved an AUROC of 0.964 and delineated five new exploration ...
A new deep learning framework called SCmapST uses a seeded matches strategy to map single-cell gene expression data onto spatial ...
A hybrid CNN–LSTM deep learning model tuned by Bayesian optimization outperformed classical and standalone neural benchmarks in quarterly GDP forecasts ...
A variational autoencoder trained only on healthy motion capture data can distinguish sex, speed and gait type while generating realistic ...
A new review shows how machine learning combined with spectroscopy, hyperspectral imaging and electronic sensors is enabling rapid, nondestructive prediction ...
A Japanese team shows that AI-assisted imaging and flow cytometry count circulating tumor cells in liver cancer with strong agreement, ...
A new neural network called CDGaitFusion fuses shared motion patterns with individual-specific features to recognize people by their gait despite ...
Researchers in Morocco have built a real-time pipeline that combines a hybrid U-Net and SegFormer deep learning model with a ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine