Latest Articles for Computing Technology

A look into SPIMs and their potential in optimization problems.

Examining how feedback magnetic fields change magnetization dynamics for advanced technologies.

A new system enhances application performance and energy efficiency in heterogeneous processors.

Study of skyrmions reveals new possibilities for advanced computing technologies.

Researchers use reinforcement learning to improve quantum state disentangling techniques.

Discover how new computing methods can reduce energy use in AI systems.

New methods improve continual learning and adaptability of large pre-trained models.

A new method enhances the performance of LLMs on CPUs for broader access.

New method enhances efficiency in solving optimal control problems with PDEs.

A unified TEE design improves CPU and NPU collaboration for secure computing.

Research reveals how complex magnon interactions influence device performance in computing.

LeanQuant improves model size and quality through advanced quantization techniques.

A novel method to improve efficiency in spiking neural network training.

New methods improve efficiency in deep neural networks, reducing energy use and increasing speed.

This article discusses improving neural network training speed using transfer learning from supernets.

New method improves efficiency in fluid simulations, enhancing prediction accuracy.

Effective resource monitoring enhances data processing in scientific research workflows.

Exploring the efficiency of optical Ising machines in complex problem-solving.

Neuromorphic computing mimics brain function for efficient processing in modern devices.

New techniques in photonic computing show promise for handling multiple tasks efficiently.

AquilaMoE uses EfficientScale to optimize bilingual language model training with less data.

Learn how dynamic techniques improve hardware performance and adaptability.

Research reveals how LAFO properties affect SHNO performance and efficiency.

Explore the potential of Physical Neural Networks to transform computing efficiency.

Exploring synthetic frequency dimensions to control magnons for enhanced information processing.

Light systems offer fast data processing with low energy needs, transforming computing.

Macformer improves efficiency in processing long sequences using advanced attention techniques.

Exploring the efficiency of Photonic KAN in artificial intelligence and computing.

Investigating spin waves may transform data transmission in future technologies.

LLaMA3-70B faces unique issues with 8-bit quantization affecting its performance.

A method to speed up text generation without losing quality.

Examining how SNNs compare to ANNs in energy consumption.

Exploring the rise of AI tools and their impact on technology.

An overview of how quantum states change and the concept of complexity in quantum mechanics.

New compression techniques speed up training for large language models while maintaining accuracy.

nekCRF enhances combustion simulations for better efficiency and lower emissions.

New models improve performance with experts of varying sizes.

High energy physics researchers are optimizing software for diverse computing resources.

A fresh look at how erasing information may not always mean energy loss.

Structured dropout enhances model learning and speeds up training processes.