Latest Articles for Computing

A method to improve quantum algorithms through tensor networks.

A new system enhances resource sharing among Large Language Models for better performance.

Multi-token prediction enhances language model capabilities for various applications.

Exploring how neuromorphic computing is transforming visual data processing.

A new framework improves information retrieval efficiency and accuracy.

Researchers are studying antiferromagnets to improve electronic devices.

The E2 algorithm enhances request management for large language models.

Exploring methods to certify quantum systems efficiently and accurately.

Learn about Dirac fermions and their role in new electronic devices.

A look into effective strategies for distributing tasks across machines in real-time.

This article compares LoRA and full finetuning on performance and memory use.

Discover a powerful solver for tackling complex nonlinear equations in various fields.

Quantum databases may reshape data management through enhanced efficiency and security.

New hybrid systems using spin waves and skyrmions promise efficient computing.

Weak models can help strong AI models learn more effectively.

Researchers enhance PCM performance using computer algorithms for better light management.

A new platform enhancing data processing using smart NICs.

Learn how Transfer Entropy enhances Convolutional Neural Networks training and performance.

PatchScaler improves image resolution efficiently while maintaining quality.

COUP improves algorithm configuration by efficiently exploring parameter spaces.

Discover new techniques to improve efficiency in deep neural network training.

Learn how quantum computing, especially the HHL algorithm, is changing the way we solve complex problems.

Examining how magnetic fields affect quantum entanglement in molecular magnets.

Modular spin-circuits merge physics and technology for advanced computing solutions.

A look at AIMC and DIMC for machine learning tasks.

Discover how cycloids help model synchronization in processes across various fields.

Examining the impact of calibration set quality on LLM performance post-quantization.

This article presents a novel approach to analyze high-dimensional entangled systems.

This article examines the impact of local measurements on quantum state distinguishability.

A look at the performance of soft GPGPUs versus IP cores in FFT tasks.

Arctic optimizes qubit movement in neutral atom quantum computers for improved performance.

Quantum computing leverages unique quantum principles to perform complex calculations rapidly.

Exploring the intersection of quantum computing and geometric algebra for better insights.

New methods are transforming how machines understand and generate human language.

A fresh approach to making neural networks more efficient while keeping performance high.

Exploring the benefits of regular look-around in attributed tree transducers.

Exploring how DFAs help synchronize machines for efficient operation.

A look at how converged computing blends HPC and cloud for scientific advancements.

CORTEX leverages supercomputing to enhance brain simulation and understanding.

Ising machines aim for efficient solutions to complex problems with low energy use.