AI’s most transformative application in healthcare might not be in diagnostics or molecule design but in human capital. By ...

The emerging graph neural networks (GNNs) have demonstrated impressive performance on the node classification problem in complex networks. However, existing GNNs are mainly devised to classify nodes ...

"We had a big, I don't know, existential crisis among students a few years back," Jure Leskovec told Fortune, "when it kind ...

In the field of medical artificial intelligence, 2025 marks an exciting breakthrough with the official launch of the MedResearcher-R1 framework. This framework aims to address the challenges faced by ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

Graph neural networks (GNNs) have shown great ability in modeling graphs; however, their performance would significantly degrade when there are noisy edges connecting nodes from different classes. To ...

Service Corporation International near intrinsic estimate Leading NYSE-listed corporations demonstrate diversified ...

Amid the chaos of revolutionary France, one man’s mathematical obsession gave way to a calculation that now underpins much of ...

In today's rapidly evolving era of artificial intelligence, programmers are continuously exploring how to apply AI technology in practical scenarios. This article will delve into two important AI ...

Shi-Feng Peng， Guolei Sun, Yong Li , Hongsong Wang , Guo-Sen Xie. Welcome to the official PyTorch implementation repository of our paper SAM-Aware Graph Prompt Reasoning Network for Cross-Domain ...

Football economics have gone insane in past years. Normal fans are amazed. But the numbers no longer shock insiders. Football ...

At a Catholic school in Pope Leo XIV's hometown, fifth graders read comic books about Carlo Acutis' life titled "Digital ...