The core of quantum network research lies in efficiently and reliably establishing entanglement between nodes; however, the challenges of maintaining fragile quantum states are far more complex than ...

This repository contains the official implementation of our ICML 2024 paper, VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context. VisionGraph, is a benchmark ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

"**1. Independent Cascade Model (ICM) of diffusion. Set an initial active nodes (50 random) and estimate the total active nodes after the simulations. Use at least 10000 run. Consider ...

The election of Donald Trump was made possible by a collective loss of faith in democracy. But it's not too late ...

Background: The development of Brain-Computer Interface (BCI) technology has brought tremendous potential to various fields. In recent years, prominent research has focused on enhancing the accuracy ...

Large Language Models: Theory and Application debuted this fall at Yale SOM. The course teaches business students the fundamentals of LLMs and gives them the chance to build their own models. By Karen ...

Abstract: A novel cell nucleus tracking approach is raised in this paper, developed from applied graph theory that simultaneously handles major challenges of cells touching, splitting, disappearing ...