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

Graph-Based Machine Learning Approaches for Fraud Detection in Financial Networks

Abstract: Fraud detection in financial networks presents a significant challenge due to the complexity and volume of transactions. Traditional detection methods often struggle with scalability and ...
Tech Xplore

An AI approach for single-image-based 3D character animation with preserved proportions

In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology ...
IEEE

Scalable and Privacy-Preserving Inter-AS Routing Through Machine-Learning-Based Graph Pruning

Abstract: The decentralized nature of traditional inter-domain routing protocols may lead to several issues, including convergence issues and proneness to misconfiguration. In response to these ...