A Visual Model Of Self-Attention: Transformers Work Differently Now

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
IEEE

THT-Net: A Novel Object Tracking Model Based on Global-Local Transformer Hashing and Tensor Analysis

Abstract: The object point clouds acquired by the original LiDAR are inherently sparse and incomplete, resulting in suboptimal single object tracking (SOT) precision for 3D bounding boxes, especially ...
IEEE

Factors Influencing College Students’ Willingness to Use Generative Artificial Intelligence Tools——Based on the UTAUT Model

Abstract: In the wave of technological innovation, generative artificial intelligence tools provide college students with personalized learning experience, promote autonomous learning and exploratory ...