Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

Comparative analysis of Value Iteration and Policy Iteration algorithms for Markov Decision Processes This repository contains the complete implementation and experimental results for the paper: "A ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

What’s happened? Instagram is testing a new feature that gives users more control over the type of content they see on the platform. Why is this important? Instagram’s algorithm plays a major role in ...

ABSTRACT: Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency ...

ABSTRACT: To overcome the problem of calculation errors in the Born approximation when the forward accumulation effect is strong in VTI media, this article combines the De Wolf approximation method ...

TikTok engages more than 170 million Americans with its endless scroll and viral content, but as a potential sale for the popular platform nears, experts are concerned about the future of the app's ...

Forbes contributors publish independent expert analyses and insights. Jodie Cook covers AI, marketing & LinkedIn for coaches & entrepreneurs To master LinkedIn's evolving algorithm, be intentional.

Abstract: We generalize the generalized Arimoto-Blahut algorithm to a general function defined over Bregman-divergence system. In existing methods, when linear constraints are imposed, each iteration ...