For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Abstract: 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 ...

The rapid accumulation of protein sequence data, coupled with the slow pace of experimental annotations, creates a critical need for computational methods to predict protein functions. Existing models ...

The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...

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

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 ...

Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...

In a move that could reshape drug discovery, researchers at Harvard Medical School have designed an artificial intelligence ...

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 ...

Whether you're an artist, advertising specialist, or just looking to spruce up your home, turning everyday objects into dynamic displays is a great way to make them more visually engaging. For example ...

A genetically modified pig lung remained viable and functional over a period of 9 days after being transplanted into a human recipient who had been declared brain dead, according to research published ...