Live Science

When an AI algorithm is labeled 'female,' people are more likely to exploit it

People were about 10% more likely to exploit an AI partner than a human one, the study showed. It also revealed that participants were more likely to cooperate with female, nonbinary and no-gender ...
IEEE

Structural Constrained Virtual Histology Staining for Human Coronary Imaging Using Deep Learning

Abstract: Histopathological analysis is crucial in artery characterization for coronary artery disease (CAD). However, histology requires an invasive and time-consuming process. In this paper, we ...
IEEE

Contrastive Learning for Zero-Shot Human Activity Recognition Using Labeled Simple Actions on Wearable Devices

Abstract: Existing Zero-Shot Learning (ZSL) approaches for sensor-based Human Activity Recognition (HAR) often rely on external semantic information—such as attribute annotations or textual ...
Smithsonian Magazine

Medical Students Are Learning Anatomy From Digital Cadavers. Can Technology Ever Replace Real Human Bodies?

From interactive diagrams to A.I. assistants, virtual tools are beginning to supplant physical dissections in some classrooms Students learn anatomy from an Asclepius AI Table, which merges ...
Phys.org

Humans bring gender bias to their interactions with AI, finds study

Humans bring gender biases to their interactions with Artificial Intelligence (AI), according to new research from Trinity College Dublin and Ludwig-Maximilians Universität (LMU) Munich. The study ...