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 ...

The closer organizations come to harmonizing accuracy, accessibility and AI, the more effectively they can unlock value that ...

Copy number variation (CNV) refers to an increase or decrease in the number of copies of a DNA sequence in a genome, which can subsequently be implicit in promoting aberrant gene expression patterns ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Web3 is not just a shiny new buzzword. It is a shift in how value, data, and trust move around the internet. Instead of businesses acting as the central “middle […] ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...