Latest Articles for Computing Technology

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.

A look at LLMs and GBDT in few-shot learning scenarios.

Harnessing symmetry can enhance quantum simulations and improve our understanding of particles.

Wigner tomography helps visualize quantum gates, enhancing understanding of quantum computing.

Exploring the importance of quantum coherence in computing and its protection methods.

Exploring advancements in optical computing and the quest for compact devices.

A study on how Gaussian processes analyze and forecast disease patterns.

Researchers use neural networks to detect quantum entanglement in three-qubit systems efficiently.

Exploring the wild behaviors of quantum systems influenced by chaos and symmetry.

SuperGCN improves training efficiency for large graphs using advanced CPU techniques.

Exploring a new era in computing with magnonic logic gates for faster processing.

A look at how light can enhance computer memory and sensors.

VCSELs offer a new approach to efficient reservoir computing.

Plaid redefines computing efficiency by aligning resources for peak performance with minimal energy use.