Latest Articles for Computing Technology

A new energy-efficient approach to associative memory using a virtual oscillator network.

New methods improve speed and accuracy of particle collision simulations.

A new technique for optimizing large language models while maintaining performance.

Researchers study Majorana zero modes for advanced quantum computing applications.

Exploring how MRRs are reshaping computing for deep learning tasks.

New insights into bosonic edge modes could reshape technology in computing and information processing.

New algorithms improve community detection by addressing connectivity in networks.

This study investigates adaptive activation functions for improved model performance in low data scenarios.

GraphMatch offers a faster way to find matching subgraphs using FPGAs.

Spyx library enhances efficiency in training spiking neural networks.

New libraries and algorithms boost performance in electronic structure research.

Researchers merge digital and analog methods for improved optical computing efficiency.

A new method enhances accuracy in thermodynamic computing systems.

Skyrmions may transform how we design faster, efficient electronic devices.

ExeGPT improves efficiency in running large language models for NLP tasks.

Exploring nonstabilizerness and its significance in quantum systems and technologies.

Memristors combine storage and processing in one device, shaping future tech.

MRSch improves high-performance computing job scheduling by optimizing resource use.

A new method helps language models generate text faster and more efficiently.

A new approach using reinforcement learning to enhance HPC job scheduling efficiency.

Understanding heat transport is crucial for advancing quantum technology performance.

Discover GRAWA, a method improving distributed training for deep learning models.

Explore the benefits of AMD's new MI300A computing unit for high-performance applications.

New methods leverage vector symbolic architectures for efficient neural network programming.

Exploring the potential of photons in quantum computing technologies.

Exploring new methods for enhancing time-series predictions using large datasets.

Examining the impact and techniques of quantum simulation for open quantum systems.

A new method boosts AI performance by effectively using all available experts.

Examining FSDP and DDP for improved model training efficiency.

MLPs show surprising effectiveness in in-context learning, challenging views on model complexity.

Exploring the behavior of qubits in networks affected by noise and interactions.

Exploring the potential of quantum memristors in artificial neurons for advanced computing.

Scientists tackle errors in quantum processes with molecular rotation techniques.

NeuroSA utilizes neuromorphic computing to tackle the Ising problem effectively.

Tiny magnetic formations could transform data storage and computing.

Researchers develop algorithms to improve measurement of quantum entanglement.

Techniques to speed up checkpoint creation for deep learning models.

Improving communication efficiency in distributed computing systems is key to better performance.

Methods to reduce memory usage during fine-tuning of large models.

AI transforms how scientists tackle complex research challenges.