Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Personalized algorithms can quietly limit what people explore while making them feel more certain they understand a topic.

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Abstract: Generating discriminative node representations for heterogeneous graphs based on contrastive learning with graph neural networks has become an important topic in data mining. Many existing ...

In the published article, there was a mistake in the conclusion part of the abstract: This study revealed decreased diagnostic accuracy of an AI decision support system (DSS) at our institution.

The identification of wheat infections has always been a considerable problem in agricultural forecasting. This paper presents an automated classification framework for wheat illnesses utilising ...

Abstract: Graph contrastive learning has demonstrated outstanding performance in addressing the issue of label scarcity. It still has two limitations: 1) the stacking of graph layers often leads to ...