Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

Generative artificial intelligence (AI) shows remarkable abilities to provide accurate and relevant responses to queries in ...

The startup XOPS is using artificial intelligence and ‘knowledge graphs’ to build a new platform for automating corporate IT departments, promising to get rid of ‘human middleware.’ ...

Gilead and Novo Nordisk have announced their drug combinations for the fatty liver disease known as NASH checked out in a mid-stage proof-of-concept study. The companies said the trial met its ...

K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application of the K-Means Algorithm in the Study of Influenza Transmission Patterns.

Objective A dashboard was developed with and for Irish general practitioners (GPs) to improve their understanding of practice ...

Edge perturbation is a basic method to modify graph structures. It can be categorized into two veins based on their effects on the performance of graph neural networks (GNNs), i.e., graph data ...

To fundamentally reduce the data transmission overhead, we propose a data-centric graph processing framework for systems with multiple near-memory computing devices. The framework uses a data-centric ...

Multi-fidelity tabular prior-data fitted network model This repository contains the code for MFTabPFN, designed to address accurate prediction and uncertainty quantification for applications using ...