Introduction A few years ago, I was in charge of demand forecasting models at my company. Even though the accuracy was decent ...

Q.ANT released the first open-source toolkit for programming commercial photonic AI processors, letting any developer write and test light-based AI inference code on a standard laptop before real ...

What is actually happening when a neural network learns?You type model.fit() and it works. But honestly, it's hard to know ...

In this tutorial, we build an end-to-end spatial graph learning pipeline using city2graph. We start by collecting real urban POI data and street network information from OpenStreetMap, with a ...

The tech giant says a breakthrough in data center networking has dramatically accelerated the flow of information through its massive cloud infrastructure. The new technology hinges on a “quasi-random ...

ABSTRACT: Psychiatric comorbidity in liaison psychiatry is not random noise, it follows structured, clinically meaningful patterns that standard episodic assessment cannot detect. Identifying these ...

本文全面解析了图神经网络（GNN）从理论到实战的应用。文章深入浅出地介绍了GNN的核心思想——消息传递机制，并详细阐述了如何将各类数据（如社交网络、分子结构、交通路网）构建为图结构 ...

One of the most powerful and rapidly evolving paradigms in deep learning is graph neural networks (GNNs). Unlike other deep neural network architectures, such as feed-forward networks or convolutional ...

Atopic dermatitis (AD) is a chronic inflammatory skin disease driven by complex interactions among genetic, environmental, and microbial factors; however, its etiology remains unclear. Recent studies ...