Latest Articles for Computer Science

A look at how error-correcting codes ensure reliable data transmission.

Exploring how errors in catalytic computation can expand computational capabilities.

Examining dynamics of Markov processes in complex networks for diverse applications.

A new method improves accuracy in model extraction from quantum neural networks.

A new method improves the speed of spiking neural networks.

New methods enhance accuracy and consistency in language models.

Introducing an improved approach for tackling stochastic optimization problems with constraints.

A look at dimensionality reduction techniques for analyzing complex cosmological data.

An engaging assignment on DNA sequence alignment aids parallel programming education.

An overview of priority queues used in finding shortest paths in networks.

Exploring strategies for finding maximum values amid corrupted data.

Explore hyper-invariant tensor networks and their role in quantum physics simulations.

A look into the concept and applications of fibrations in mathematics.

A method for creating various maps on orientable surfaces with unique representations.

Exploring bifiltrations for improved data analysis and outlier management.

Exploring the role of high dimensional expanders in mathematics and computer science.

New ε-MSR codes enhance data recovery and storage efficiency.

A look at how merge trees enhance our grasp of crystalline materials.

HyperSteiner presents a more efficient method for calculating Steiner Minimal Trees.

A study revealing similarities between two types of modal logic.

This research aims to create CAPTCHAs that confuse machines but are clear to humans.

Researchers investigate random triangulations to minimize costs and connect points on spheres.

New algorithms improve the estimation of Kemeny’s constant for directed graphs.

This article explores the concept of tournament transitive partitioning in graph theory.

A new method enhances how language models follow complex instructions.

New algorithm improves analysis of regular languages and their partitions.

An examination of comet languages and their significance in contextual grammars.

Discover how non-global Parikh tree automata improve tree structure analysis.

Alice and Bob compete to control states in a finite automaton.

A look into block languages and their significance in processing operations.

A new approach for simulating non-interacting particle dynamics effectively.

A look into graph languages and their role in processing complex information.

PharmacoMatch uses machine learning to enhance pharmacophore screening efficiency.

A new framework aims to clarify the complexities of quantum logic.

A look at how the Swift-Hohenberg equation reveals patterns in nature.

Exploring classical and quantum approaches to random sampling of permutations.

A look at the latest developments in machine translation models.

A look at improving accreditation methods for trusted quantum computations.

Learn about combinations and permutations in a straightforward manner.

A closer look at how well large language models perform basic tasks.