IEEE

An Improved Convergence Analysis of Gossip Methods for Large Random Graphs

Abstract: We study the convergence behavior of distributed Gossip algorithms over large random graphs. By leveraging tools from random matrix theory, we develop a precise average-case characterization ...
Nature

FIRST-ICU: forecasting interventions and risk stratification in the ICU using graph neural network autoencoders

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Nature

Graph neural networks for networked analysis of gestational diabetes risk factors: a multi method framework

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
IEEE

CrackNet-GNN: Unsupervised Crack Detection in Concrete Structures via Depth-Based Segmentation and Graph Neural Networks

Abstract: Infrastructure deterioration poses major economic and safety risks, motivating scalable and objective inspection of concrete structures. This article presents CrackNet-graph neural network, ...
Wired

Jeff Bezos Is Funding a Wild Hunt for the Brain’s ‘Core Algorithm’

Rob Williams knows how to pitch Jeff Bezos: You write a press release as if your product has already been built. Bezos reads it and gives a thumbs up or down. Williams went through this process a lot ...
Sports Illustrated

Updated Lions Depth Chart After First Week of 2026 OTAs

With one week of organized team activities under their belts, the Detroit Lions are officially off and running. Detroit will have two more weeks of OTAs before rounding out their offseason workout ...