Abstract: The Kleinman iteration is a policy iteration method for solving Riccati equations and forms the basis of many reinforcement learning (RL) algorithms. However, its direct application to ...

Streaming platforms promise to learn what viewers love and serve it back to them, but a growing body of peer-reviewed research suggests the same recommendation engines designed to keep audiences ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

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 ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

This repository contains my implementation of the Hybrid Input-Output (HIO) algorithm for phase retrieval — recovering phase information from Fourier magnitude data, a key problem in computational ...

The early stage pathogens of plant diseases have the characteristic of low concentration and difficult detection, which exacerbates the difficulty of tracing the disease, leading to rapid spread and ...

Every day, researchers search for optimal solutions. They might want to figure out where to build a major airline hub. Or to determine how to maximize return while minimizing risk in an investment ...

Abstract: Radio based positioning using terrestrial radio signal like 5th-Generation (5G) technology has attracted attention in past years, which strongly depends on the accuracy of the channel path ...