With the continuous extension of the Industrial Internet, cyber incidents caused by software vulnerabilities have been increasing in recent years. However, software vulnerabilities detection is still ...

Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration, i.e., ...

Roll Tide! No that’s more like it. This graphing column, I’ll admit, is a much more interesting read when we’re breaking down ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...

Home | Mathematics | Linear functions, graphs and equations | Graphing linear functions Graphing linear functions This section focuses on the key features and methods for working with linear graphs.

To address this, we developed ProtHGT, a heterogeneous graph transformer-based model that integrates diverse biological datasets into a unified framework using knowledge graphs for accurate and ...

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...

An AI tool could help cardiologists identify and target cells that trigger arrhythmia in patients with ventricular ...

Supply is a fundamental economic concept that describes the total amount of a specific good or service that's offered to ...

Artificial intelligence software is designing novel experimental protocols that improve upon the work of human physicists, although the humans are still “doing a lot of baby-sitting.” ...