Radiologists are struggling to distinguish AI-generated chest X-rays from authentic clinical images, according to a growing body of research that raises serious questions about fraud, misdiagnosis, ...

Museum collections have underpinned scientific research for centuries. But physical specimens in boxes and drawers don't ...

Retail LLMs promise raw computing power in edge settings. But what are the considerations that face decision-makers in the ...

Machine learning models trained on molecular quadrupole moments predict electrostatic potentials rapidly, enabling faster ...

An Advanced AI Approach for Accurate Giant Panda Behavior Detection and Conservation Insights,” published in the journal ...

Latent spaces are abstract, high-dimensional areas within neural networks where patterns and relationships are encoded, but ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

Abstract: In this paper, we present DendroMap, a novel approach to interactively exploring large-scale image datasets for machine learning (ML). ML practitioners often explore image datasets by ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...