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

A Novel Hierarchical Generative Model for Semi-Supervised Semantic Segmentation of Biomedical Images

Abstract: In biomedical vision research, a significant challenge is the limited availability of pixel-wise labeled data. Data augmentation has been identified as a solution to this issue through ...
GitHub

MITRE ATT&CK® Data Model

The ATT&CK Data Model (ADM) provides a type-safe, object-oriented interface for working with MITRE ATT&CK datasets. Built on STIX 2.1 compliance, it uses Zod schemas and TypeScript types to ensure ...

An electronic health record-integrated AI agent advances personalized prostate cancer education

Mayo Clinic researchers have developed and evaluated MedEduChat, an electronic health record (EHR) that works with a large ...
IEEE

More Unlabeled Data Does Matter: A Full-Cycle Framework for Semi-Supervised Semantic Segmentation of Remote Sensing Images

Abstract: Semi-supervised semantic segmentation has gained considerable attention due to its ability to leverage large amounts of unlabeled data to enhance model generalization. Although increasing ...