Latest Articles for Computer Science

Examining the rise of spiking neural networks in artificial intelligence.

A deep dive into EAMs and their role in programming languages.

Analyzing strategies in the cops and robbers game on graphs.

Explore the unique world of non-associative algebras and their applications.

Learn how sorted sets and Interpolation Search Trees improve data management.

Examining the role of time-averaged work in quantum annealing reveals complexities in quantum systems.

New methods improve understanding of protein structures and classifications.

Learn about semialgebraic sets and Nash maps in algebra and geometry.

A new method enhances language model outputs using knowledge from graphs.

Examining how input changes affect symmetric Boolean functions and their complexity.

A program combining visual and audio data to enhance video comprehension.

Examining the connection between uncomputable sets and their infinite subsets.

New methods improve simulations of electromagnetic wave behavior in complex geometries.

A new method uses neural networks to solve PDEs efficiently while preserving physical laws.

Exploring a cellular automaton model on a pentagrid capable of universal computation.

Researchers develop methods to reduce language model size while maintaining performance.

Learn how quantum phase estimation and compressed sensing reshape computing.

Learn how addition sequences improve efficiency in computing powers.

Introducing LM4HPC, a framework to enhance language model application in HPC tasks.

A new tech merges motion analysis with language for better animations and interactions.

A fresh approach helps AI learn without forgetting past knowledge.

Innovative approaches enhance message passing in complex systems and real-world applications.

A new method enhances question answering from knowledge bases.

Explore odd colouring and its applications in graph theory.

CIMulator aids in optimizing memory devices for better AI performance.

A new graph-based method enhances event extraction from text.

A study on methods for finding hidden data blocks in random matrices.

Analyzing the properties and implications of generalized Sem enov arithmetic.

A new neural network model improves simulations of surface growth under various noise conditions.

Examining how order and disorder shape outcomes in random processes.

Explore the differences between ANN and SNN in processing data.

Exploring the evolution of cellular automata with adaptive rules for complex systems.

A new optimizer enhances quantum circuit instantiation and efficiency.

New findings highlight differences in randomized and deterministic algorithms.

A new method enhances verification tools for non-linear arithmetic in complex programs.

Using the Risch Algorithm to improve datasets for machine learning in symbolic integration.

Exploring page counts in deque and rique layouts for complete graphs.

This study reviews machine learning's effectiveness in finding software vulnerabilities through modified data testing.

New method allows faster neuronal simulations with flexible connection creation.

This article presents a fresh framework for Lagrange multipliers in constrained optimization.