As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

A new study published in the Journal of the American Medical Association showed that using retinal scans of premature infants ...

A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and ...

Spatial intelligence, a frontier technology, is essential for AI to enable humanoids and autonomous vehicles to operate in the physical world.

Also, shedding light on how the Bengals might approach free agency and whether a Joe Burrow contract restructuring could ...

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver condition globally, with its management spanning ...