Abstract: We propose a UNet-based foundation model and its self-supervised learning method to address two key challenges: 1)lack of qualified annotated analog layout data, and 2)excessive variety in ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...

Today, Skillsoft (NYSE: SKIL), a leading AI-native skills management platform, announced user experience and adoption findings that signal a turning point in enterprise learning. As AI becomes part of ...

Abstract: Encrypted traffic analysis is crucial for cyberspace security. Self-supervised learning shows great promise to enhance traffic analysis with the pre-trained traffic encoder, which is ...

Like many educators, I’ve noticed a growing tension between what we ask students to do (both in school and out) and what students actually have time to do. However, we often structure learning as if ...