5 indicted in ‘massive’ Portland-based retail theft operation after yearslong investigation

Multnomah County officials on Thursday announced the indictments of five people in connection to what they described as a ...
Cybernews

When will singularity happen? Trust this engineer, who calculated it to the millisecond precision

Engineer Cam Pedersen calculated the technological singularity to happen on July 18, 2034, by tracking the accelerating rate of human attention to AI, not machine capability.
Dot Physics on MSN

Mastering animated graphs in GlowScript: VPython made easy

Learn how to create dynamic, animated graphs in GlowScript using VPython with ease! 📊 This step-by-step tutorial guides you through visualizing data, animating simulations, and mastering interactive ...
IEEE

S2G-GCN: A Plot Classification Network Integrating Spectrum-to-Graph Modeling and Graph Convolutional Network for Compact HFSWR

Abstract: Plot classification refers to the identification of true target plots among initial detections, and it is crucial for target tracking with compact high-frequency surface wave radar (HFSWR) ...
BBC

What was life like in a World War One trench?

Soldiers were encouraged to wash their feet regularly and often had their feet inspected. On the Western Front, the war was fought by soldiers in trenches. Trenches were long, narrow ditches dug into ...
IEEE

Connectivity analysis for vehicular ad hoc network based on the Exponential Random Geometric Graphs

Abstract: Network connectivity is a fundamental requirement for applying the vehicular ad hoc networks (VANETs) to real traffic systems. The high mobility of vehicles results in rapid changes in ...
GitHub

GraphLLM: Boosting Graph Reasoning Ability of Large Language Model

You may need a single 80G GPU to run the experiment. We experiment on CUDA 11.8 and torch 2.0.1. Setup up a new conda env and install necessary packages. conda create ...
GitHub

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood.

Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood (MCMC MLE). Goodness of fit ...