To uncover cancer causing mutations in the genome, a team has built a deep neural network that can rapidly scan the entire genome of cancer cells and identify mutations that occur more frequently than ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Scientists at the University of California, San Diego (UCSD), School of Medicine used human brain organoids to reveal how a genetic mutation associated with a profound form of autism disrupts neural ...

Suppose you have a thousand-page book, but each page has only a single line of text. You’re supposed to extract the information contained in the book using a scanner, only this particular scanner ...