Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...

A little while back, we took a look at a large cargo bike from Urban Arrow that had some interesting features: a drive train that sported continuous variable gearing and a belt drive. But it was ...

A continuous glucose monitor (CGM) can tell you when my glucose spikes, but not that I delayed correcting it because I was in a high-stakes meeting. It can record the number after I under-bolused for ...

This tutorial is for Photoshop version CC 2018 and later. Photoshop CC 2018 tutorial showing the “Variable Radial Symmetry” feature, which allows you to create beautiful spirographs and mandalas with ...

This repository contains the code and data used for the paper "Graph Neural Networks For Mapping Variables Between Programs", accepted at ECAI 2023. We present a novel graph program representation ...

According to mathematical legend, Peter Sarnak and Noga Alon made a bet about optimal graphs in the late 1980s. They’ve now both been proved wrong. It started with a bet. In the late 1980s, at a ...

Cyber threats are growing more sophisticated, and traditional security approaches struggle to keep up. Organizations can no longer rely on periodic assessments or static vulnerability lists to stay ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...

Abstract: Fusing probabilistic information is a fundamental task in signal and data processing with relevance to many fields of technology and science. In this work, we investigate the fusion of ...