Latest Articles for Computer Science

A look into cosmic X-ray tomography and the methods to visualize cosmic strings.

A new method enhances light simulation through gravitational fields for better cosmic insights.

An overview of applying Schwarz methods to nonlocal Dirichlet and Neumann problems.

This study reveals connections between graphs, their subgraphs, and independence numbers.

Introducing a modular library for easy decision-making using diffusion models.

Explore the significance of graph polynomials in mathematics and computer science.

Using finite automata to compute digits of irrational numbers like the golden ratio.

Exploring the role of AI in optimizing quantum circuits for better performance.

A look into saturated hypergraphs and their significance in random networks.

A new method enhances efficiency and flexibility in processing Subgraph GNNs.

Exploring non-Hermitian dynamics and their applications in quantum physics.

Learn about CGP, its function, advantages, applications, and challenges in programming.

This article explores using AI to improve multi-objective optimization processes.

An overview of how quantum circuits simulate Hamiltonians for complex systems.

Learn about lattice walks and their applications in various fields.

Introducing a new adaptive stepsize method to improve optimization efficiency.

Analyzing how different numeric systems impact real number representation.

Investigating the relationship between symmetry and bit sequences in cryptography.

Learn how to update strongly connected components in dynamic planar graphs.

LENNs offer a new approach for modeling complex physical systems efficiently.

A new algorithm enhances computer learning in competitive games.

A dual-language approach enhances correctness while maintaining speed in programming.

Explore the crucial role of lattices in mathematics and cryptography.

Exploring digraphs, their homology, and key algebraic structures.

Study explores static analysis to enhance repository-level code completion.

A fresh approach improves learning from neural network weight space.

DLHT offers a powerful solution for efficient data storage and retrieval.

Examining Quantum Reed-Muller codes for reliable quantum computing.

A new method enhances processing of long texts in language models efficiently.

Researchers simplify neural networks to unveil crucial insights about memory and decision-making.

A new type system enhances rounding error analysis for numerical calculations.

Exploring the dynamics of modal logic through various frameworks and semantics.

Rank-revealers estimate matrix rank, aiding in data analysis, machine learning, and more.

Dreamweaver enhances integrated circuit floorplanning using machine learning techniques.

A new method enhances testing speed and fault detection in quantum programs.

A novel approach reduces target state probability in quantum searches.

A study on improving LLMs' problem-solving abilities using a new framework.

Learn how streaming algorithms improve data counting and memory efficiency.

A new method combines human and AI for efficient text classification.

Examining the unique characteristics of stable quadrangulations and spheres in mathematics.