Tag: attention mechanisms

Researchers have built a 10.97-million-parameter neural network that classifies brain tumors on MRI with 99.2 percent accuracy while quantifying its ...

Researchers at Durham University have developed a dual-stream neural network that applies parallel attention to sensor modalities and time steps, ...

Researchers have developed CL3AN-GNN, a graph neural network that borrows curriculum learning from education to progressively disentangle features and boost ...

A new 3D convolutional neural network called COV-DSNet stages COVID-19 patients as progressing or remitting from chest CT scans and ...

Researchers at Central South University have developed an interpretable machine learning framework that fuses spatial and temporal process data to ...

Researchers have developed AttentiveGaze, a real-time multimodal AI framework that fuses face, eye, and head pose cues with attention mechanisms ...

A new multi-instance learning model called Cohort-AI evaluates entire IVF embryo cohorts rather than individual embryos, dramatically improving the consistency ...

Researchers in India have built a custom fine-tuned BERT-based framework that outperforms classical machine learning, deep learning baselines, and GPT-3.5 ...

Researchers have developed a lightweight deep learning framework that automatically segments liver anatomy and computes optimized, safety-aware needle trajectories for ...

Researchers have developed DES-CMR, an AI model that learns to select and reason over evidence documents end to end while ...